Dynamic path for end effector control

Description

CROSS REFERENCE TO RELATED APPLICATIONS

This application is a United States national phase entry of International Application No. PCT/AU2018/050734 filed on Jul. 16, 2018, which claims priority to International Application No. PCT/AU2017/050739 filed on Jul. 17, 2017, both of which are incorporated herein by reference in their entireties.

BACKGROUND OF THE INVENTION

The present invention relates to systems and methods for performing interactions within a physical environment, and in one particular example, to systems and methods for moving an end effector in accordance with a dynamic end effector path to account for relative movement between a robot base and the environment.

DESCRIPTION OF THE PRIOR ART

The reference in this specification to any prior publication (or information derived from it), or to any matter which is known, is not, and should not be taken as an acknowledgment or admission or any form of suggestion that the prior publication (or information derived from it) or known matter forms part of the common general knowledge in the field of endeavour to which this specification relates.

It is known to provide systems in which a robot arm mounted on a moving robot base is used to perform interactions within a physical environment. For example, WO 2007/076581 describes an automated brick laying system for constructing a building from a plurality of bricks comprising a robot provided with a brick laying and adhesive applying head, a measuring system, and a controller that provides control data to the robot to lay the bricks at predetermined locations. The measuring system measures in real time the position of the head and produces position data for the controller. The controller produces control data on the basis of a comparison between the position data and a predetermined or pre-programmed position of the head to lay a brick at a predetermined position for the building under construction. The controller can control the robot to construct the building in a course by course manner where the bricks are laid sequentially at their respective predetermined positions and where a complete course of bricks for the entire building is laid prior to laying of the brick for the next course.

The arrangement described in WO 2007/076581 went a long way toward addressing issues associated with long booms deflecting due to gravity, wind, movement of the end effector, and movement of the boom. Nevertheless, even with the arrangement described in WO 2007/076581, errors in positioning of the end effector could still occur, particularly as the distance from the base of the robot and the end effector increased.

SUMMARY OF THE PRESENT INVENTION

In one broad form, an aspect of the present invention seeks to provide a system for performing interactions within a physical environment, the system including: a robot base that undergoes movement relative to the environment; a robot arm mounted to the robot base, the robot arm including an end effector mounted thereon; a tracking system that measures a robot base position indicative of a position of the robot base relative to the environment; and, a control system that: acquires an indication of an end effector destination; determines a robot base position using signals from the tracking system; calculates an end effector path extending to the end effector destination at least in part using the robot base position; generates robot control signals based on the end effector path; applies the robot control signals to the robot arm to cause the end effector to be moved along the end effector path towards the destination; and, repeats steps (ii) to (vi) to move the end effector towards the end effector destination.

In one embodiment the end effector destination is defined relative to an environment coordinate system and the control system: calculates a transformed end effector destination by transforming the end effector destination from the environment coordinate system to the robot base coordinate system at least in part using the robot base position; and, calculates an end effector path extending to the transformed end effector destination in the robot base coordinate system.

In one embodiment the end effector destination includes an end effector pose, the tracking system measures a robot base pose and wherein the control system: determines a current robot base pose using signals from the tracking system; and calculates an end effector path based on the current robot base pose.

In one embodiment the control system: determines an end effector pose relative to the robot base coordinate system; determines a current robot base pose using signals from the tracking system; and, calculates the end effector path using the current robot base pose.

In one embodiment the control system: determines an end effector position; and, calculates the end effector path using the end effector position.

In one embodiment the control system determines the end effector position in a robot base coordinate system using robot arm kinematics.

In one embodiment the robot base moves with a slower dynamic response and the end effector moves with a faster dynamic response to correct for movement of the robot base away from an expected robot base position.

In one embodiment the robot base is a movable robot base, and the system includes a robot base actuator that moves the robot base relative to the environment.

In one embodiment the control system: calculates a robot base path extending from a current robot base position at least in part in accordance with an end effector destination; generates robot base control signals based on the robot base path; and, applies the robot base control signals to the robot base actuator to cause the robot base to be moved along the robot base path.

In one embodiment the robot base path is configured to allow continuous movement of the robot base along the robot base path in accordance with a defined robot base path velocity profile.

In one embodiment control system: determines a virtual robot base position offset from the robot base and defined at least partially in accordance with an end effector position; and, uses the virtual robot base position to at least one of: calculate a robot base path; and, generate robot base actuator control signals.

In one embodiment the virtual robot base position is coincident with a reference end effector position, the reference end effector position being at least one of: an operative position indicative of a position of the end effector when performing an interaction in the environment; a pre-operative position indicative of a position of the end effector prior to commencing an interaction in the environment; and, a default position indicative of a position of the end effector following performing an interaction in the environment.

In one embodiment the tracking system measures a target position indicative of a position of a target mounted on the robot base and the control system determines the virtual robot base position using the target position by transforming the target position to the virtual robot base position.

In one embodiment the control system: acquires an indication of a plurality of end effector destinations; determines a robot base position at least in part using signals from the tracking system; calculates a robot base path extending from the robot base position in accordance with the end effector destinations, the robot base path being configured to allow continuous movement of the robot base along the robot base path in accordance with a defined robot base path velocity profile; generates robot base control signals based on the robot base path; and, applies the robot base control signals to the robot base actuator to cause the robot base to be moved along the robot base path in accordance with the robot base path velocity profile.

In one embodiment, at least one of: the robot base path does not include any discontinuities; and, robot base path velocity profile does not include any discontinuous velocity changes.

In one embodiment the control system: defines an interaction window; and, determines the robot base path at least in part using the interaction window.

In one embodiment the control system: monitors end effector interaction; and, selectively modifies the robot base control signals to cause the robot base to move at a robot base velocity below the robot base path velocity profile, depending on results of the monitoring.

In one embodiment the robot base path includes an interaction window associated with each end effector destination, and wherein as the robot base enters an interaction window, the control system: controls the robot arm to commence at least one of: interaction; and, movement of the end effector along an end effector path to the end effector destination; and, monitors interaction by determining if the interaction will be completed by the time the robot base approaches an exit to an interaction window; and, progressively reduces the robot base velocity to ensure the interaction is completed by the time the robot base reaches an exit to the interaction window.

In one embodiment the system includes: a first tracking system that measures a robot base position indicative of a position of the robot base relative to the environment; and, a second tracking system that measures movement of the robot base, and wherein the control system: determines the robot base position at least in part using signals from the first tracking system; and, in the event of failure of the first tracking system: determines a robot base position using signals from the second tracking system; and, controls the robot arm to move the end effector along the end effector path at a reduced end effector speed.

In one embodiment the system includes: a robot base; and, a robot base actuator that moves the robot base relative to the environment, and wherein the control system uses the robot base position to at least partially control the robot base actuator to move the robot base along a robot base path, and wherein in the event of failure of the first tracking system: determines the robot base position using signals from the second tracking system; and, controls the robot base actuator to move the robot base along the robot base path at a reduced robot base speed.

In one embodiment the tracking system includes: a tracking base including a tracker head having: a radiation source arranged to send a radiation beam to a target; a base sensor that senses reflected radiation; head angle sensors that sense an orientation of the head; a base tracking system that: tracks a position of the target; and, controls an orientation of the tracker head to follow the target; a target including: a target sensor that senses the radiation beam; target angle sensors that sense an orientation of the head; a target tracking system that: tracks a position of the tracking base; and, controls an orientation of the target to follow the tracker head; and, a tracker processing system that determines a relative position of the tracker base and target in accordance with signals from the sensors.

In one embodiment the robot base is static and the environment is moving relative to the robot base.

In one embodiment the control system generates the robot control signals taking into account at least one of: an end effector velocity profile; robot dynamics; and, robot kinematics.

In one embodiment the control system includes a computer numerical control system.

In one embodiment the control system at least one of: repeats steps for processing cycles of the control system; repeats steps for consecutive processing cycles of the control system; and, repeats steps based on a refresh rate of the tracking system.

In one embodiment the robot base includes a head mounted to a boom.

In one embodiment the boom is attached to a vehicle.

In one embodiment the system is used for at least one of: positioning objects or material in the environment; retrieving objects or material from the environment; and, modifying objects or material in the environment.

In one embodiment the environment is at least one of: a building site; a construction site; and, a vehicle.

In one broad form, an aspect of the present invention seeks to provide a method for performing interactions within a physical environment using a system including: a robot base that undergoes movement relative to the environment; a robot arm mounted to the robot base, the robot arm including an end effector mounted thereon; and, a tracking system that measures a robot base position indicative of a position of the robot base relative to the environment and wherein the method includes, in a control system: acquiring an indication of an end effector destination; determining a robot base position using signals from the tracking system; calculating an end effector path extending to the end effector destination at least in part using the robot base position; generating robot control signals based on the end effector path; applying the robot control signals to the robot arm to cause the end effector to be moved along the end effector path towards the destination; and, repeating steps (ii) to (vi) to move the end effector towards the end effector destination.

In one broad form, an aspect of the present invention seeks to provide a computer program product including computer executable code, which when executed by a suitably programmed control system causes the control system to control a system for performing interactions within a physical environment, the system including: a robot base that undergoes movement relative to the environment; a robot arm mounted to the robot base, the robot arm including an end effector mounted thereon; a tracking system that measures a robot base position indicative of a position of the robot base relative to the environment; and, a control system that: acquires an indication of an end effector destination; determines a robot base position using signals from the tracking system; calculates an end effector path extending to the end effector destination at least in part using the robot base position; generates robot control signals based on the end effector path; applies the robot control signals to the robot arm to cause the end effector to be moved along the end effector path towards the destination; and, repeats steps (ii) to (vi) to move the end effector towards the end effector destination.

It will be appreciated that the broad forms of the invention and their respective features can be used in conjunction and/or independently, and reference to separate broad forms is not intended to be limiting.

BRIEF DESCRIPTION OF THE DRAWINGS

Various examples and embodiments of the present invention will now be described with reference to the accompanying drawings, in which: —

FIG. 1A is a schematic diagram illustrating a first example of a system for performing interactions within a physical environment;

FIG. 1B is a schematic diagram of a second example of a system for performing interactions within a physical environment;

FIG. 1C is a schematic plan view of the system of FIG. 1B;

FIG. 2 is a schematic diagram of an example of a control system for the systems of FIGS. 1A to 1C;

FIG. 3 is a flowchart of an example of a process for performing a physical interaction;

FIG. 4 is a flow chart of an example of a robot base tracking process;

FIG. 5A is a schematic diagram illustrating an example of the robot base tracking process of FIG. 4;

FIG. 5B is a schematic plan view illustrating an example of the robot base tracking process of FIG. 4;

FIG. 6 is a flow chart of an example of a process for calculating a robot base path;

FIGS. 7A to 7G are schematic diagrams illustrating an example of the process for calculating a robot base path;

FIGS. 8A to 8E are schematic diagrams illustrating an example of an interaction performed in an interaction window;

FIG. 9 is a flowchart of an example of a process for controlling robot base movement in accordance with a calculated robot base path;

FIG. 10 is a flowchart of a first example of a process for controlling a robot arm to provide end effector stabilisation;

FIGS. 11A and 11B are schematic diagrams illustrating an example of the control process of FIG. 10 to provide the end effector at a static position;

FIGS. 11C and 11D are schematic diagrams illustrating an example of the control process of FIG. 10 to move an end effector along an end effector path;

FIGS. 11E and 11F are schematic diagrams illustrating an example of the control process of FIG. 10 to move the robot base along a robot base path and the end effector along an end effector path;

FIG. 12 is a flowchart of a second example of a process for controlling a robot arm to provide end effector stabilisation;

FIGS. 13A to 13C are schematic diagrams illustrating an example of the control process of FIG. 12 to provide the end effector at a static position;

FIG. 14 is a flowchart of a third example of a process for controlling a robot arm to provide end effector stabilisation;

FIGS. 15A and 15B are schematic diagrams illustrating an example of the control process of FIG. 14 to provide the end effector at a static position;

FIGS. 15C and 15D are schematic diagrams illustrating an example of the control process of FIG. 14 to move an end effector along an end effector path;

FIGS. 15E and 15F are schematic diagrams illustrating an example of the control process of FIG. 14 to move the robot base along a robot base path and the end effector along an end effector path;

FIGS. 16A to 16C are a flowchart of a specific example of an end effector and robot base control process;

FIG. 17 is a flowchart of an example of a tracking system failure control process;

FIG. 18 is a flowchart of an example of a tracking system failure detection process;

FIG. 19 is a schematic view of an implementation of an invention according to a first embodiment;

FIG. 20 is a schematic view of an implementation of an invention according to a second embodiment;

FIG. 21 is a view of the tracker system for interfacing to control the position of an end effector on the end of a boom according to an embodiment of the invention;

FIG. 22 is a view of the tracker system for interfacing to control the position of an end effector on the end of a boom according to an embodiment of the invention;

FIG. 23 is a graph showing implementation of damping of movement when stabilisation of the end effector is switched between a ground based first state and a machine based second state;

FIG. 24 is a view showing operation of an embodiment showing machine based second state operation;

FIG. 25 is a view showing operation of the embodiment of FIG. 24 switched to ground based first state operation;

FIG. 26 is a top plan view showing use of an embodiment being a mobile block laying machine incorporating the control system of the invention, in use to build a sound proofing wall along a freeway/motorway;

FIG. 27 is a side view showing use of a boom with a robotic arm mounted to an oil rig, in use to transfer items from a vessel subject to movement in ocean swell; and

FIG. 28 is a view of detail of the embodiment illustrated in FIG. 27; and

FIG. 29 is a view showing use of a boom with a robotic arm mounted to an oil rig, in use to transfer items from a supply vessel subject to movement in ocean swell.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

The following description explains a number of different systems and methods for performing interactions within an environment. For the purpose of illustration, the following definitions apply to terminology used throughout.

The term “interaction” is intended to refer to any physical interaction that occurs within, and including with or on, an environment. Example interactions could include placing material or objects within the environment, removing material or objects from the environment, moving material or objects within the environment, modifying, manipulating, or otherwise engaging with material or objects within the environment, modifying, manipulating, or otherwise engaging with the environment, or the like. Further examples of interactions will become apparent from the following description, and it will be appreciated that the techniques could be extended to a wide range of different interactions, and specified examples are not intended to be limiting. Furthermore, in some examples, interactions may comprise one or more distinct steps. For example, when brick laying, an interaction could include the steps of retrieving a brick from a brick supply mechanism and then placing the brick in the environment.

The term “environment” is used to refer to any location, region, area or volume within which, or on which, interactions are performed. The type and nature of the environment will vary depending on the preferred implementation and the environment could be a discrete physical environment, and/or could be a logical physical environment, delineated from surroundings solely by virtue of this being a volume within which interactions occur. Non-limiting examples of environments include building or construction sites, parts of vehicles, such as decks of ships or loading trays of lorries, factories, loading sites, ground work areas, or the like, and further examples will be described in more detail below.

A robot arm is a programmable mechanical manipulator. In this specification a robot arm includes multi axis jointed arms, parallel kinematic robots (such as Stewart Platform, Delta robots), spherical geometry robots, Cartesian robots (orthogonal axis robots with linear motion) etc.

A boom is an elongate support structure such as a slewing boom, with or without stick or dipper, with or without telescopic elements, telescoping booms, telescoping articulated booms. Examples include crane booms, earthmover booms, truck crane booms, all with or without cable supported or cable braced elements. A boom may also include an overhead gantry structure, or cantilevered gantry, or a controlled tensile truss (the boom may not be a boom but a multi cable supported parallel kinematics crane (see PAR systems, Tensile Truss—Chernobyl Crane)), or other moveable arm that may translate position in space.

An end effector is a device at the end of a robotic arm designed to interact with the environment. An end effector may include a gripper, nozzle, sand blaster, spray gun, wrench, magnet, welding torch, cutting torch, saw, milling cutter, router cutter, hydraulic shears, laser, riveting tool, or the like, and reference to these examples is not intended to be limiting.

TCP is an abbreviation of tool centre point. This is a location on the end effector (or tool), whose position and orientation define the coordinates of the controlled object. It is typically located at the distal end of the kinematic chain. Kinematic chain refers to the chain of linkages and their joints between the base of a robot arm and the end effector.

CNC is an abbreviation for computer numerical control, used for automation of machines by computer/processor/microcontroller executed pre-programmed sequences of machine control commands.

The application of coordinate transformations within a CNC control system is usually performed to allow programming in a convenient coordinate system. It is also performed to allow correction of workpiece position errors when clamped in a vice or fixture on a CNC machining centre.

These coordinate transformations are usually applied in a static sense to account for static coordinate shifts or to correct static errors.

Robots and CNC machines are programmed in a convenient Cartesian coordinate system, and kinematic transformations are used to convert the Cartesian coordinates to joint positions to move the pose of the robot or CNC machine.

Measuring the position of a robot arm end effector close to the TCP in real time increases the accuracy of a robot. This is performed on static end effectors on robots used for probing and drilling. This is achieved by a multi-step process of moving to the programmed position, taking a position measurement, calculating a correction vector, adding the compensation vector to the programmed position and then moving the TCP to the new position. This process is not done in hard real time and relies on a static robot arm pose.

Examples of systems for performing interactions within physical environments will now be described with reference to FIGS. 1A to 1C and FIG. 2.

In the example of FIG. 1A the system 100 includes a robot assembly 110 including a robot base 111, a robot arm 112 and an end effector 113. The robot assembly 110 is positioned relative to an environment E, which in this example is illustrated as a 2D plane, but in practice could be a 3D volume of any configuration. In use, the end effector 113 is used to perform interactions within the environment E, for example to perform bricklaying, object manipulation, or the like.

The system 100 also includes a tracking system 120, which is able to track the robot assembly movement, and in one particular example, movement of the robot base relative to the environment. In one example, the tracking system includes a tracker base 121, which is typically statically positioned relative to the environment E and a tracker target 122, mounted on the robot base 111, allowing a position of the robot base 111 relative to the environment E to be determined.

In one example, the tracking system 120 includes a tracking base 121 including a tracker head having a radiation source arranged to send a radiation beam to the target 122 and a base sensor that senses reflected radiation. A base tracking system is provided which tracks a position of the target 122 and controls an orientation of the tracker head to follow the target 122. The target 122 typically includes a target sensor that senses the radiation beam and a target tracking system that tracks a position of the tracking base and controls an orientation of the target to follow the tracker head. Angle sensors are provided in the head and the target that determine an orientation of the head and target respectively. A tracker processing system determines a relative position of the tracker base and target in accordance with signals from the sensors, specifically using signals from the angle sensors to determine relative angles of the tracker and target, whilst time of flight of the radiation beam can be used to determine a physical separation. In a further example, the radiation can be polarised in order to allow an orientation of the base relative to the tracking head to be determined. Although a single tracking system 120 including a head and target is shown, this is not essential and in other examples multiple tracking systems and/or targets can be provided as will be described in more detail below.

In one particular example, the tracking system is a laser tracking system and example arrangements are manufactured by API (Radian and OT2 with STS (Smart Track Sensor)), Leica (AT960 and Tmac) and Faro. These systems measure position at 300 Hz, or 1 kHz or 2 kHz (depending on the equipment) and rely on a combination of sensing arrangements, including laser tracking, vision systems using 2D cameras, accelerometer data such as from a tilt sensor or INS (Inertial navigation System) and can be used to make accurate position measurements of position, with data obtained from the laser tracker and active target equating to position and optionally orientation of the active target relative to the environment E. As such systems are known and are commercially available, these will not be described in any further detail.

It will also be appreciated that other position/movement sensors, such as an inertial measurement unit (IMU) can also be incorporated into the system, as will be described in more detail below.

A control system 130 is provided in communication with the tracking system 120 and the robot assembly 110 allowing the robot assembly to be controlled based on signals received from the tracking system. The control system typically includes one or more control processors 131 and one or more memories 132. For ease of illustration, the remaining description will make reference to a processing device and a memory, but it will be appreciated that multiple processing devices and/or memories could be used, with reference to the singular encompassing the plural arrangements. In use the memory stores control instructions, typically in the form of applications software, or firmware, which is executed by the processor 131 allowing signals from the tracking system 120 and robot assembly 110 to be interpreted and used to control the robot assembly 110 to allow interactions to be performed.

An example of the control system 130 is shown in more detail in FIG. 2.

In this example the control system 230 is coupled to a robot arm controller 210, a tracking system controller 220 and a boom controller 240. The robot arm controller 210 is coupled to a robot arm actuator 211 and end effector actuator 212, which are able to control positioning of the robot arm 112 and end effector 113, respectively. The tracking system controller 220 is coupled to the tracking head 221 and target 222, allowing the tracking system to be controlled and relative positions of the tracking head 221 and target 222 to be ascertained and returned to the control system 230. The boom controller 240 is typically coupled to boom actuators 241, 242 which can be used to position the boom and hence robot base. A second tracking system 225 may also be provided, which includes sensors 226, such as inertial sensors, optionally coupled to a controller or processor. It is to be understood that in practice the robot arm, end effector and boom will have multiple actuators such as servo motors, hydraulic cylinders and the like to effect movement of their respective axes (i.e. joints) and reference to single actuators is not intended to be limiting.

Each of the robot arm controller 210, tracking system controller 220, second tracking system 225 and boom controller 240 typically include electronic processing devices, operating in conjunction with stored instructions, and which operate to interpret commands provided by the control system 230 and generate control signals for the respective actuators and/or the tracking system and/or receive signals from sensors and provide relevant data to the control system 230. The electronic processing devices could include any electronic processing device such as a microprocessor, microchip processor, logic gate configuration, firmware optionally associated with implementing logic such as an FPGA (Field Programmable Gate Array), or any other electronic device, system or arrangement. It will be appreciated that the robot arm controller 210, tracking system controller 220 and boom controller 240 typically form part of the boom assembly, robot assembly and tracking system, respectively. As the operation of such systems would be understood in the art, these will not be described in further detail.

The control system 230 typically includes an electronic processing device 231, a memory 232, input/output device 233 and interface 234, which can be utilised to connect the control system 230 to the robot arm controller 210, tracking system controller 220 and boom controller 240. Although a single external interface is shown, this is for the purpose of example only, and in practice multiple interfaces using various methods (eg. Ethernet, serial, USB, wireless or the like) may be provided.

In use, the processing device 231 executes instructions in the form of applications software stored in the memory 232 to allow the required processes to be performed. The applications software may include one or more software modules, and may be executed in a suitable execution environment, such as an operating system environment, or the like.

Accordingly, it will be appreciated that the control system 230 may be formed from any suitable processing system, such as a suitably programmed PC, computer server, or the like. In one particular example, the control system 230 is a standard processing system such as an Intel Architecture based processing system, which executes software applications stored on non-volatile (e.g., hard disk) storage, although this is not essential. However, it will also be understood that the processing system could be any electronic processing device such as a microprocessor, microchip processor, logic gate configuration, firmware optionally associated with implementing logic such as an FPGA (Field Programmable Gate Array), or any other electronic device, system or arrangement.

It will also be appreciated that the above described arrangements are for the purpose of illustration only and practice a wide range of different systems and associated control configurations could be utilised. For example, it will be appreciated that the distribution of processing between the controllers and/or control system could vary depending on the preferred implementation.

For the purpose of the following examples, reference will be made to an environment coordinate system ECS, which is static relative to the environment E, and a robot base coordinate system RBCS, which is static relative to the robot base 111. Additionally, some examples will make reference to a robot base actuator coordinate system BACS, which is a coordinate system used to control movement of the robot base, for example to control movement of the boom assembly.

In practice, in the above described examples, the robot base 111 undergoes movement relative to the environment E. The nature of the movement will vary depending upon the preferred implementation. For example, the robot base 111 could be static, with the environment E moving. A good example of this is when a robot arm is provided on a dock and is attempting to interact with objects present on the deck of a boat, which is undergoing movement relative to the dock. However, it will be appreciated that similar relative movement will arise in a range of different circumstances.

Alternatively, in the example shown in FIG. 1B, the robot base 111 is supported by a robot base actuator 140, which can be used to move the robot base. In this example, the robot base actuator is in the form of a boom assembly including a boom base 141, boom 142 and stick 143. The boom is typically controllable allowing a position and/or orientation of the robot base to be adjusted. The types of movement available will vary depending on the preferred implementation. For example, the boom base 141 could be mounted on a vehicle allowing this to be positioned and optionally rotated to a desired position and orientation. The boom and stick 142, 143 can be telescopic arrangements, including a number of telescoping boom or stick members, allowing a length of the boom or stick to be adjusted. Additionally, angles between the boom base 141 and boom 142, and boom 142 and stick 143, can be controlled, for example using hydraulic actuators, allowing the robot base 111 to be provided in a desired position relative to the environment E. Such operation is typically performed in the robot base actuator coordinate system BACS, although this is not essential as will become apparent from the remaining description.

An example of a system of this form for laying bricks is described in WO 2018/009981 the content of which is incorporated herein by cross reference. It will be appreciated however that such arrangements are not limited to bricklaying, but could also be utilised for other forms of interactions.

Depending on the implementation, the boom assembly can have a significant length, so for example in the case of a construction application, the boom may need to extend across a construction site and could have a length of tens of meters. In such circumstances, the boom is typically subject to a variety of loads, including forces resulting from movement of the boom and/or robot arm, wind loading, machinery vibrations, or the like, which can in turn induce oscillations or other movement in the end of the boom, in turn causing the robot base to move relative to the environment. Such movement will be referred to generally as unintentional movement. Additionally, as described above, the robot base can be moved in a controlled manner by actively moving the boom and such movement will be referred to generally as intentional movement.

In any event, it will be appreciated that in both of the above described examples, the robot base and hence the robot base coordinate system RBCS moves relative to the environment and hence environment coordinate system ECS, which substantially complicates the control process, and in particular the ability of the end effector to be accurately positioned so as to perform an interaction within the environment. In this regard, in normal robot applications, the end effector is controlled in the robot base coordinate system RBCS, whilst the end effector needs to be positioned in the environment coordinate system ECS, and as the movement results in the two coordinate systems moving relative to each other, this makes accurately positioning the end effector difficult.

An example of the process for performing an interaction within the environment E will now be described with reference to FIG. 3.

For the purpose of the following explanation reference will be made to a term “destination”. The term is intended to refer to a position and optionally orientation (in combination referred to as a pose) at which the end effector 113 is to be provided, either as part of performing an interaction or otherwise. For example, the destination could correspond to the location within the environment at which the interaction is to occur. However, this is not essential, alternatively the destination could correspond to any position through which the end effector should pass, in effect defining multiple destinations leading to a final destination. For example, an interaction may involve sequences of end effector movements, optionally forming part of different steps, and the term destination could refer to any position forming part of the different steps. Thus, the term destination should therefore be interpreted to refer to any particular point at which the end effector is to be positioned and in some examples, a destination could be a static point at which an end effector is to be maintained for a period of time for example while other processes are performed, whereas in other cases the destination could be transitory and correspond to a point on a path through which the end effector is to traverse.

In this example, one or more destination positions are determined at step 300. The manner in which this is achieved will vary depending on the preferred implementation. In one example, destinations can be retrieved from a database or other data store, received from another processing system, determined based on signals from sensors or user input commands, or the like. For example, end effector destinations could be derived from a plan, such as a construction plan for a building, in which case the plan could be retrieved and the destinations derived from the plan. In this regard, the construction plan may identify positions at which objects such as bricks are to be placed in order for a building to be constructed. In this example, the destination positions can simply be retrieved from the plan.

However, this is not essential and alternatively, destination positions may need to be ascertained in other manners. For example, it may be necessary to retrieve an object from an environment, in which case the destination of the end effector corresponds to the object position. In this example, the object position may not be known in advance, in which case the position of the object may need to be detected, for example using a camera based vision system, or other localisation system, allowing the detected position to be used in order to define the destination position. In this regard, the object could be static or moving, meaning whilst the destination is normally static relative to the environment coordinate system ECS, in some examples, the destination could be moving.

It will also be appreciated that destinations could be determined in other appropriate manners, and the above described examples are not intended to be restrictive.

At step 310, a robot base path to allow for movement of the robot base 111 is optionally planned. The robot base path may not be required, for example in the event that the robot base 111 is static or already positioned. However, it will be appreciated that the robot base path may be used to move the robot base 111 to different positions within or relative to the environment E, in order to allow the end effector 113 to be more conveniently provided at the respective destination. The manner in which the base path is calculated will vary depending upon the preferred implementation and examples will be described in more detail below.

At step 320, an end effector path is planned to move the end effector 113 to the destination. The end effector path is typically planned based on a planned position of the robot base 111 relative to the environment E, for example to take into account movement of the robot base 111 along the robot base path. The end effector path may extend from an expected previous position of an end effector 113, for example at the completion of a previous interaction or other step, or could be calculated in real time based on a current end effector position. It will be appreciated that in the event that the destination is based on a current position, the end effector path could be a null path with zero length, with this being used for the purpose of positioning the end effector 113 statically relative to the environment E.

At step 330, the robot base 111 is optionally moved based on the robot base path, for example by controlling the boom assembly 140, or another form of robot base actuator. This process is typically performed in the robot base actuator coordinate system BACS, although this is not essential and robot base path planning and/or control of robot base movement could be performed in other coordinate systems. During and/or following this process, the commencement of end effector movement is performed at step 340, causing the end effector to start moving along the end effector path, assuming this is required. This process is typically performed in the robot base coordinate system RBCS, although this is not essential and end effector path planning and/or control could be performed in other coordinate systems.

As movement of the end effector 113 is performed, or otherwise if the end effector 113 is being held at a static position relative to the environment E, movement of the robot base is monitored at step 350, using the tracking system 120 to continuously detect a position of the robot base 111 relative to the environment E. This is used to adjust end effector movement, for example by adjusting pose of robot arm, at step 360 to ensure the destination position is reached.

In this regard, the robot base may undergo unintentional movement relative to the environment E, either due to a shift in the environment, or due to an unexpected movement of the robot base, resulting from vibrations in or wind loading of the boom, or the like. Such motions mean that the robot base may not be provided in an expected position relative to the environment, for example as a result of the robot base 111 deviating from the calculated robot base path. In this example, by monitoring movement of the robot base 111, such movements can be corrected for, ensuring that the end effector moves correctly along the end effector path to the destination position.

Thus, in one example, a robot base actuator is used to provide a coarse positioning system, whilst the robot arm provides a fine positioning system to allow an end effector to be accurately positioned relative to the environment. Operation is controlled by a control system that uses a tracking system to measure a position and optionally orientation of the robot base in real time, with a measured position (and orientation) of the robot base being used to calculate an offset that is added as a position transformation to the relative position of the fine positioning mechanism so that the end effector is positioned correctly relative to the environment. Thus a large and relatively light and flexible structure can be used to approximately position a fast and accurate fine positioning mechanism, which can be accurately controlled in real time allowing an end effector to be moved relative to an environment in an accurate and fast motion.

This form of operation is referred to by the applicant as dynamic stabilisation technology (DST) and is described in prior publications including U.S. Pat. No. 8,166,727, WO2009/026641, WO2009/026642, WO2018/009981 and WO2018/009986, the contents of which are incorporated herein by cross reference.

It will also be appreciated that DST can also be used to account for intentional movement of the robot base, for example to account for the fact that the robot base 111 may be traversing a robot path whilst an interaction is performed.

An example of a number of different aspects of the above described system will now be described in further detail. These different aspects of the system can be used independently or can be used in conjunction depending on the preferred implementation. It will be appreciated from this that reference to separate aspects should not be considered limiting and that aspects can be used in any number of different combinations, depending on the preferred implementation and the scenario in which the system is used.

In one aspect a process for controlling the robot base is provided and an example of this will now be described in more detail with reference to FIG. 4.

For the purpose of this example, it is assumed that the robot base can be moved relative to the environment using a robot base actuator. The nature of the actuator and manner in which this is performed can vary depending on the preferred implementation. In one example, the robot base actuator could be a boom assembly 140 similar to that described above with respect to FIGS. 1B and 1C. However, any form of robot base actuator could be provided and this could include a vehicle with the robot base being mounted on the vehicle, or could include the use of a crane or other similar arrangement for suspending the robot assembly above a work environment, or could include the use of self powered robot bases, for example including wheels or tracks, or the like.

In this example, at step 400 the control system acquires an indication of an end effector destination defined relative to the environment coordinate system ECS. As previously described the end effector destination could be determined in any number of manners and this could include retrieving the destination from a plan, based on signals received from a vision system that locates an object relative to the environment, or the like.

At step 410, a tracking target position is determined at least in part using signals from the tracking system 120. The tracking target position represents a position of the target 122, relative to the tracking base 121, and hence the environment E. Thus the target position represents the position of the target 122 in the environment coordinate system ECS.

At step 420 the control system determines a virtual robot base position. The virtual robot base position is offset from the actual physical robot base and is defined at least partially in accordance with an end effector position. An example of this is shown in FIG. 5A which shows a system similar to that described above with respect to FIG. 1B, with like components indicated by similar reference numerals increased by 400.

In this example, a robot base 511 is positioned using a boom assembly 540 having a boom base 541 and boom and stick 542, 543. The robot base 511 has a tracker 522 mounted thereon whose position is tracked using the tracking base 521 provided relative to the environment E. In this example, the robot arm 512 is shown provided in a reference position, with the end effector 513 provided at a reference position relative to the robot base.

The end effector reference position can be arbitrarily defined, but is typically based on one or more of an operative position indicative of a position of the end effector 513 when performing an interaction in the environment, a pre-operative position indicative of a position of the end effector 513 prior to commencing an interaction in the environment, or a default position indicative of a position of the end effector 513 following performing an interaction in the environment. Thus, the reference position is a typical position of the end effector, which is used at some point before, during or after an interaction is performed.

At step 430, the control system (not shown) uses the virtual robot base position and end effector destination to calculate a robot base path extending from the current robot base virtual position to the end effector destination.

In this regard, the position of the tracker target 522 is known in the robot base actuator coordinate system BACS by virtue of the robot base actuator kinematics, and in particular the boom kinematics, and the known location of the tracker target 522 on the robot base 511. Thus as the tracker target 522 position is known in the environment coordinate system ECS and the robot base actuator coordinate system BACS, this can be used to allow geometric transformations to transform other positions between these coordinate systems.

Additionally, in this example, the tracker target 522 is offset from the reference end effector location, and hence reference robot base position by offsets Z₁and X₁. It will be appreciated that other offsets may also apply, for example a Y axis offset, as well as rotational offsets, may also be present, but not shown in this example for clarity. Accordingly, this allows the virtual robot base position to be known in the different coordinate systems.

At step 440, the control system generates robot base control signals based on the calculated path, and uses these to move the robot base at step 450, for example by controlling the boom assembly 540.

It will be appreciated that as control is typically performed in the robot base actuator coordinate system BACS, the robot base path is typically calculated in the robot base actuator coordinate system BACS, in which case the control system uses the target position to calculate a transformation between the environment coordinate system ECS and the robot base actuator coordinate system BACS. Specifically, this involves transforming the end effector destination into the robot base actuator coordinate system BACS, allowing the robot base path to be calculated in the robot base actuator coordinate system BACS. However, it will be appreciated that this is not essential and alternatively the path could be calculated in the environment coordinate system ECS.

In any event, in the above described example, the control system effectively creates a virtual robot base position, which is a virtual position of the robot base that is offset from the physical location of the robot base, and which is coincident with a reference position of the end effector. The control system then uses this virtual robot base position when controlling movement of the robot base, using a robot base actuator, which can be beneficial in allowing the robot base to be more easily positioned in order to allow interactions to be performed.

For example, when calculating a robot base path, the control system can simply acquire an end effector destination and then use this destination, together with the tracking target position, to define the robot base path, causing the robot base to traverse the environment to a position which is suitable for the interaction to be performed. In particular this can be used to align the end effector with the end effector destination, thereby reducing the complexity of the end effector path and the need for significant control of the end effector.

A useful example of this is illustrated in FIG. 5B, which shows an example in which the robot base actuator is a boom assembly mounted on a vehicle 541, which acts as the boom base. In this regard, when it is required to perform interactions within the environment E, the vehicle 541 may be located at any point relative to the environment E. In this instance, in order for the end effector to be positioned at a destination 551, the robot base 511 must be provided at a position that is physically offset from the destination 551, by an offset O. However, this offset O varies depending on the position of the vehicle 541 and must be calculated in the robot base actuator coordinate system BACS, which can be computationally complex. However, by controlling the robot base actuator using a virtual robot base position, which is aligned with the end effector 513, this automatically aligns the end effector 513 with the end effector destination 551 as needed, irrespective of the positioning of the vehicle relative to the environment.

Thus, utilising the virtual robot base position to control positioning of the robot base 511 means that the robot base 511 can simply be moved so that it is automatically offset from the destination 551 as needed. This means that irrespective of the original position of the robot actuator base, and in particular the boom base 541, the robot base 511 is controlled so that the end effector 513 is effectively automatically aligned with the destination.

Additionally and/or alternatively, this can assist with path planning. For example, path planning and/or tracking of movement of the robot base using a virtual robot base position aligned with the end effector 513 can help avoid collisions of the end effector 513 with the environment or objects or material provided therein.

As mentioned, the virtual robot base position is typically defined to be coincident with a reference end effector position, such as an operative position, a pre-operative position, or a default post-operative position. It will be appreciated that the particular end effector position selected will vary depending upon the preferred implementation, and that other end effector positions could also be used.

In the current example, the robot base includes a head mounted to a boom with the boom in turn being controlled by a boom actuator from a boom actuator base. In one particular example the boom base is attached to a vehicle, with the virtual robot base position being offset from the robot base and defined at least partially in accordance with an end effector position to allow the vehicle to be provided in different positions relative to the environment.

Whilst the above example has focused on robot base position, it will be appreciated that this could also take into account orientation, in which case the robot base pose will be calculated as a virtual robot base pose, which is physically offset from the robot base, and aligned with an end effector pose.

In one aspect a process for planning a robot base path is provided and an example of this will now be described in more detail with reference to FIG. 6.

In this example, a number N of next end effector destinations are determined at step 600. As previously discussed, this can be achieved in any appropriate manner such as retrieving end effector destinations from a plan, detecting objects in an environment, or the like. The number of end effector destinations that are selected will vary depending on the preferred implementation and the nature of the interactions and planning performed, but typically this will be at least 5, and more typically at least 10, and in one preferred example about 20.

At step 605 the control system acquires tracking system signals and uses these to determine a current robot base position at step 610. As previously described, the robot base position may be a virtual robot base position which is offset from the physical robot base, for example to align this with an end effector location.

At step 615 a robot base path is calculated, with this typically being performed in a robot base actuator coordinate system BACS, as described in the previous example. In this example, the robot base path is configured to allow substantially continuous movement of the robot base along the robot base path in accordance with a robot base velocity profile, which defines the robot base velocity along the path.

Once planned, the robot base path can be executed at step 620 by generating robot base control signals based on the robot base path, with these being applied to the robot base actuator, such as the boom assembly, to cause the robot base 511 to be moved.

Optionally, at step 625 it is determined if an interaction is being completed, for example by having the end effector reach a destination, and if not execution of the robot base path continues. Otherwise, once the interaction is complete, the process returns to step 600 to allow a next N end effector destinations to be determined, so that the path is constantly updated as end effector destinations are reached.

Accordingly, the above described arrangement calculates a robot base path by examining a next N destinations and calculating a path based on those destinations. Taking into account a number of destinations and not just a next immediate destination, allows the path to be planned to avoid sudden changes in speed and/or direction of movement, allowing for substantially continuous movement along the path length.

In particular, the path can be calculated so that the path shape and velocity profile, are carefully controlled to minimise changes in robot base velocity, which in turn can be used to avoid discontinuities, such as stepwise or sharp velocity changes. Sudden velocity changes, for example increasing or decreasing the speed of the robot base movement, or changing the direction of movement, can induce vibrations within the robot base actuator, such as the boom arm of a boom assembly. This in turn can lead to greater unintentional movement of the robot base, including more movements and/or movements of larger magnitude, making it more difficult for the DST to correct for movement of the robot base and ensure the end effector is provided at a correct position.

In order to minimise the magnitude of velocity changes, including speed and/or direction changes, a number of different approaches can be used. In one example, the robot base path is curved and/or configured to allow the robot base to be moved gradually whilst interactions are performed, so that the robot base does not need to be halted.

An example of the process for calculating a robot base path will now be described in further detail with reference to FIGS. 7A to 7G.

In this regard, as described above a number of destinations are acquired, with an example of five end effector destinations 751.1, 751.2, 751.3, 751.4, 751.5 being shown relative to the environment E in FIG. 7A. It will be appreciated that five end effector destinations only are shown for illustration and in practice a greater number may be examined. Next, the control system calculates path segments 753.1, 753.2, 753.3, 753.4 interconnecting the end effector destinations 751.1, 751.2, 751.3, 751.4, 751.5, with these typically being in the form of straight lines extending directly between the end effector destinations 751.1, 751.2, 751.3, 751.4, 751.5, as shown in FIG. 7B.

The interconnected path segments 753.1, 753.2, 753.3, 753.4 then undergo smoothing to generate the robot base path and an example of this is shown in FIG. 7C, in which transitions between adjacent path segments, and in particular points where the straight segments of the paths connect at angles, are curved.

However it will be appreciated that this represents a very basic smoothing approach, and more aggressive smoothing approaches can be used, for example by deviating the path from the original straight path segments, and an example of this is shown in FIG. 7D.

In the example of FIG. 7D, it is noted that the path is constrained to pass through each of the end effector destinations 751.1, 751.2, 751.3, 751.4, 751.5. However, this is not essential, and alternatively, the path can be constrained so that it always passes within a set distance of the end effector destinations 751.1, 751.2, 751.3, 751.4, 751.5. In one example, as shown in FIG. 7E, this is achieved by defining boundaries 754 a set distance from the straight path segments 753.1, 753.2, 753.3, 753.4 which interconnect the end effector destinations 751.1, 751.2, 751.3, 751.4, 751.5, with the resulting path being constrained to be located within the boundaries 754. The magnitude of the set distance of the boundaries 754 can be defined based on kinematics of the robot arm, with this being performed to ensure that the end effector is able to successfully reach the respective destinations assuming the robot base, and in particular the virtual robot base, follows the defined robot base path.

Accordingly, in this example, the robot base path passes within a set distance of each destination and/or is provided within a set distance of straight lines interconnecting adjacent destinations.

As part of the above described approach, the control system can calculate robot base path velocities for each of a plurality of path segments and then perform smoothing of the robot base path velocities to generate the robot base velocity profile, in particular so the velocity varies progressively along the path, thereby requiring minimum amounts of acceleration. For example, if two end effector destinations are positioned closely, such as the end effector destinations 751.2, 751.3, then this might require that the path segment 753.2 has a lower robot base path velocity than that of surrounding paths.

In one example, calculation of the robot base path is performed taking into account an end effector path length, an end effector velocity profile associated with the end effector path, robot kinematics and/or dynamics, as well as robot actuator kinematics and/or dynamics. For example, the path would typically be calculated taking into account a reach of the end effector, so that the path is within reach of the destination, thereby ensuring that the robot arm is capable of performing interactions assuming the robot base follows the robot base path. Similarly, this will also take into account dynamics and kinematics of the robot base actuator, to ensure the actuator is capable of implementing the robot base path.

It will be appreciated that in the above described example, the process is described assuming a virtual robot base position aligned with the end effector is used, similar to that described above with respect to FIGS. 4, 5A and 5B. In the event that such an arrangement is not used, then an offset would need to be introduced to calculate a desired robot base position from the end effector destination.

An example of this is shown in FIG. 7G, in which an offset 758.1, 758.2, 758.3, 758.4, 758.5 is added to the end effector destination 751.1, 751.2, 751.3, 751.4, 751.5 to represent the physical offset of the robot base 111 from the end effector 113. This leads to a number of robot base destinations, 757.1, 757.2, 757.3, 757.4, 757.5, which can then be used to calculate a robot base path 759, and it will be appreciated that this can be performed in a similar manner to that described above, albeit performing the calculation on the robot base destinations 757.1, 757.2, 757.3, 757.4, 757.5 as opposed to the end effector destinations 751.1, 751.2, 751.3, 751.4, 751.5.

In this example, the robot base actuator rotates about an axis A, meaning each offset 758.1, 758.2, 758.3, 758.4, 758.5, whilst having the same length, will be at a different orientation, and hence unique for each end effector destination. This further highlights the benefit of using the above described virtual robot base position when calculating robot base paths. In any event, it will be appreciated that otherwise the robot base path can be calculated using similar techniques to those outlined above with respect to the use of the end effector destinations and virtual robot base position and this will not therefore be described in any further detail.

Path planning can also take into account interaction dependencies. In this regard, interactions will typically have dependencies, so that for example laying a particular brick may require that one or more adjacent bricks are laid first. In this instance, the control system typically retrieves interaction dependencies, which are generally defined as part of an interaction plan, such as a construction plan, and then calculates the robot base path in accordance with the interaction dependencies, for example to ensure that interactions are not performed until dependency requirements are met.

Additionally and/or alternatively, path planning can take into account an interaction time, indicative of a time to perform an interaction, which is then used to calculate the robot base path velocity profile and optionally define an interaction window, which can then be used in controlling the robot base dynamically. In this regard, interaction windows typically correspond to a region of the environment surrounding the end effector destination or robot base destination in which the virtual robot base can be provided, whilst still allowing an interaction to be performed, and so this allows the velocity of the robot base as it traverses the robot base path to be controlled, for example depending on a completion status of the interaction.

An example of this will now be described in more detail with reference to FIGS. 8A to 8E. For the purpose of this example, explanation will be made with reference to the virtual robot base position, with the interaction window being calculated based on the end effector position, but it will be appreciated that the technique is equally applicable to arrangements not using the virtual robot base and/or interaction windows defined relative to a robot base destination.

In this example, a robot assembly having a robot base 811, robot arm 812 and end effector 813 is shown. An interaction window 852 is defined relative to an end effector destination 851. As the robot base 811 approaches the interaction window 852, movement of the end effector commences, so that the end effector starts moving along an end effector path towards the destination 851, as shown in FIG. 8B. The end effector can then perform an interaction as shown in FIG. 8C, as the robot base 811 passes the destination 851, with the interaction being concluded as shown in FIG. 8D, and with the end effector returning to an original position as the robot base moves past the interaction window as shown in FIG. 8E.

The interaction windows are typically determined based on the interaction time and a velocity, so that the time required to perform an interaction, such as to pick up an object or place an object, corresponds to the time taken to traverse the interaction window at the defined robot base path velocity profile.

In one particular example, interaction windows are defined based on a set distance surrounding a destination, derived for example based on robot arm kinematics and/or dynamics such as the reach and or velocity of the end effector. An example of this is shown in FIG. 7F. In this example, multiple interaction windows 752.1, 752.2, 752.3, 752.4, 752.5 are provided around the destinations 751.1, 751.2, 751.3, 751.4, 751.5.

In this particular instance the destinations 751.2, 751.3 are sufficiently close together that the interaction windows 752.2, 752.3 would overlap, meaning a next interaction would need to start before a previous interaction has concluded. To take this into account, the extent of each window is reduced to allow the windows to abut at a point midway between the adjacent destinations 751.2, 751.3. It will be appreciated that in this instance, the windows are shorter than for other destinations, and accordingly, the robot base path velocity profile would need to be reduced to allow interactions to be performed within the interaction windows 752.2, 752.3 as compared to other interaction windows.

As an alternative to this however, a destination order could be altered, for example by omitting the destination 751.3 from the path and then returning to perform interaction at that destination at a later point in time. Whether this occurs will to some extent depend on whether or not this is feasible, and in particular this may depend on interaction dependencies, as discussed above.

Having defined the interaction windows, these can then be used in order to control movement of the robot base 811 and end effector 813 and in particular to ensure an interaction is completed without requiring a discrete velocity change. For example, the control system can monitor end effector interaction to determine a completion status, and selectively modify the robot base control signals to cause the robot base to move at different velocities, depending on results of the monitoring.

In one particular example, when the robot base path includes an interaction window associated with each end effector destination, as the robot base enters an interaction window the control system can control the robot arm to commence interaction and/or movement of the end effector along an end effector path to the end effector destination. The control system can then monitor interaction by determining if the interaction will be completed by the time the robot base approaches an exit to the interaction window, optionally progressively reducing the robot base velocity to ensure that the interaction is completed by the time the robot base reaches the exit to the interaction window.

In one example, the interaction includes a number of steps, and wherein the control system monitors the interaction by monitoring completion of steps. As part of this process, the control system determines an end effector path for a next step and then generates control signals to move the end effector to thereby complete the step.

An example of a control process using the above described path planning arrangement will now be described in more detail with reference to FIG. 9.

In this instance, at step 900 a robot base path is calculated. This is performed using the approached described above with respect to FIG. 6 and this will not therefore be described in further detail.

At step 905, a current robot base position is determined using signals from the tracking system, with this being used by the control system to determine if an interaction window has been reached at step 910. If not the movement of the robot base continues at step 915, with steps 905 to 915 continuing until an interaction window is reached at step 920.

Following this an interaction associated with the interaction window commences. In this regard, interactions typically consist of a sequence of steps, and may include moving the end effector to an end effector destination and then returning the end effector to a starting position, home or reference position. For example, in the case of brick laying, the interaction could involve collecting a brick from a presentation mechanism mounted on the boom and/or robot base, moving the end effector and brick to a destination in the environment to allow the brick to be laid, before returning the end effector to allow a next brick to be collected.

An end effector path associated with the next step is retrieved and/or calculated as required at step 925, with the control system determining if the interaction is proceeding on schedule at step 930. If not, the robot base speed is modified at step 935, so that the robot base is progressively slowed to a velocity below that defined in the robot base path velocity profile. This can be achieved in any manner, but in one example this is achieved by gradually scaling the velocity based on a proximity to an entry to and/or exit from the interaction window.

The end effector 813 and robot base 811 are moved at step 940, with the control system determining if the step has been completed at step 945. If not, steps 930 to 945 are repeated until the step has been completed.

Once the step has been completed the control system determines if all steps have been completed and if not goes on to select a next step otherwise returning to step 900 to calculate a new robot base path.

Accordingly, the above described arrangement operates to calculate a path that avoids discontinuities and/or sudden or sharp changes in direction or speed, to thereby minimise unintentional movements of the robot base, such as unwanted oscillations or other movements. Additionally and/or alternatively, the above described approach uses interaction windows to control the robot base speed during the process of performing interactions within the environment. In this regard, the interaction window is defined together with a path velocity profile, based on a time taken to perform the interaction, so that the interaction can be performed without deviating from the velocity profile. In operation, completion of the interaction is monitored with movement of the robot base along the robot base path being progressively slowed if the interaction is running behind schedule. This is performed to ensure that the interaction can be performed before the robot base exits the interaction window.

As previously described, movement of the end effector is typically controlled to take into account, and in particular correct for movement of the robot base, thereby enabling the end effector to be accurately controlled within the environment coordinate system ECS, irrespective of relative movement between the environment and the robot base. Thus, such DST dynamically adjusts the end effector in order to account for movement of the robot base, which can be used, for example, to keep the end effector static or moving along or in accordance with a defined path within the environment, irrespective of movement of the robot base.

Dynamic stabilisation technology can be implemented utilising different approaches and three example mechanisms will now be described, with these hereinafter being referred to as dynamic compensation, dynamic coordinate system and dynamic path planning.

Dynamic compensation operates by generating a path correction and applying the path correction when generating control signals that control the robot arm, so that the arm follows a modified path that brings the end effector back on to the original planned path.

Dynamic coordinate systems operate by calculating robot arm kinematics in a moving coordinate system which tracks movement of the robot base, so that the end effector always has a correct position in the environment coordinate system ECS. This generally involves shifting the origin of the robot arm kinematics, to ensure the end effector is correctly positioned.

Dynamic path planning involves recalculating end effector paths as the robot base and environment move relative to each other, so that the new path ensures the end effector always progresses to the end effector destination.

Accordingly, in one aspect a process for performing dynamic compensation is provided, and an example of this will now be described with reference to FIG. 10, and making reference to the system of FIGS. 1B and 1C.

In this example, at step 1000 the control system 130 acquires an end effector destination, which as will be appreciated can be achieved using techniques described above.

At step 1010, a reference robot base position is determined by the control system 130, with this typically being performed relative to the environment coordinate system ECS. The reference robot base position can be a current position and/or could be a position at a future point in time, and may therefore represent an expected position when the end effector is to perform an interaction, such as positioning an object within the environment.

An end effector path is then calculated by the control system 130 at step 1020, with the path extending to the end effector destination. This process can be performed at least in part using the reference robot base position in order to take into account any movement from the current robot base position to the reference robot base position and/or to transform between the robot base and environment coordinate systems RBCS, ECS, if this required. For example, the end effector path is typically calculated in the robot base coordinate system RBCS, as this allows control signals for the robot arm to more easily map to the movement, meaning the end effector destination is transformed from the environment coordinate system ECS to the robot base coordinate system RBCS. This is performed based on the relative position of the coordinate systems when the robot base is positioned in the reference robot base position, taking into account that the relative position of the robot base and environment coordinate systems RBCS, ECS will vary as the robot base 111 moves along the robot base path. However, this is not essential, and alternatively the current end effector position could be transferred into the environment coordinate system ECS, allowing the end effector path to be calculated in the environment coordinate system ECS.

Having calculated a path, at step 1030, a current robot base position is determined using signals from the tracking system. This is used to calculate a correction which is indicative of a path modification at step 1040. The nature of the correction and the manner in which this is calculated will vary depending upon the preferred implementation but in one example this is in the form of a vector representing deviation of the current end effector position with respect to the end effector path, as determined based on movement of the robot base. For example, if the robot base 111 undergoes movement away from an expected robot base position, this will result in equivalent movement of the end effector 113 away from the end effector path, which will need to be corrected in order to ensure the end effector continues to traverse the path.

Robot control signals are generated by the control system 130 at step 1050, based on the end effector path and the correction, with these being applied to the robot arm to cause the end effector 113 to be moved in accordance with the end effector path and the correction, so that the end effector moves back to the end effector path and continues towards the destination at step 1060. Steps 1030 to 1060 are then repeated as needed until the end effector has reached the destination.

Accordingly, the above described technique operates by calculating a correction based on a deviation of the current measured robot base position from an expected robot base position, using the correction when generating robot control signals to thereby correct the position of the end effector. In one example, the robot base moves with a slower dynamic response, whilst the end effector moves with a faster dynamic response, so that movement of the end effector can be used to correct for movement of the robot base away from an expected robot base position.

A number of different example scenarios will now be described with reference to FIGS. 11A to 11F, to more clearly explain operation of the dynamic compensation in a number of different scenarios. These examples show an end effector 1113 attached to a robot arm 1112, which is in turn attached to a robot base (which is not shown for clarity). The following examples will illustrate the dynamic compensation mechanism operating in two dimensions only, but it will be appreciated that this can extend to six degrees of freedom, and reference to two dimensions only is not intended to be limiting.

In the example of FIGS. 11A and 11B, the end effector destination is coincident with a current end effector position, meaning the calculated end effector path is in fact a null path with zero path length. Such an arrangement would be used in order to maintain a static end effector position within the environment E.

In this example, an unintentional movement 1161 of the robot base, for example caused by vibrations, wind loading of a boom, or the like, moves the robot arm 1112 and hence end effector 1113. As a result, the end effector 1113 is now offset from the destination 1151. In this instance, a correction is calculated based on the movement 1161, which generates a path correction, in this instance effectively creating a new path 1162, which causes the robot arm to move the end effector and counteract the unintentional movement 1161, thereby returning the end effector to the destination 1151. In this regard, the pose of the robot arm will change in accordance with the unintentional movement of the robot base in order to effect the path correction and bring the end effector 1113 back to the destination 1151.

In the example of FIGS. 11C and 11D, the end effector 1113 is traversing along an end effector path 1155 to destination 1151. In this instance, unintentional movement 1161 occurs whilst the robot arm is simultaneously moving along the path as shown by the arrow 1163. In this instance, the correction is calculated to cause the end effector to move in accordance with arrow 1162, with this being combined together with a next movement along the path 1164, resulting in a net movement 1165, which returns the end effector 1113 to the original path 1155.

A further example shown in FIGS. 11E and 11F involves moving the end effector along an end effector path 1155, and simultaneously moving the robot base along a robot base path 1153. In this instance the reference robot base position is shown in dotted lines in FIG. 11E, which is based on the expected robot base position when the end effector 1113 reaches the end effector destination 1151. In this instance, from the reference robot base position, the end effector path 1155 is vertically down to the destination 1151, and with a net path 1156 being formed from a combination of the end effector path 1155 and the robot base path 1153, resulting in net end effector movement from the current end effector position to the destination 1151.

In this instance as the robot base and end effector 1113 are moved along the net path, as shown at 1163, an unintentional movement arises as shown as 1161. In this instance a correction 1162 is calculated which combined with next path movement 1164, results in the end effector moving along a path 1165, returning to the original net path 1156.

Accordingly, it will be appreciated that the above described processes operate to correct for at least unintentional movement of the end effector to thereby maintain the end effector 1113 at a desired position, or travelling in accordance with a desired path, within the environment coordinate system ECS, even though the end effector is controlled in the robot base coordinate system RBCS.

As mentioned above, in one preferred example, the control system 130 calculates the end effector path in the robot base coordinate system RBCS, whilst the end effector destination is typically defined in the environment coordinate system ECS. This involves having the control system 130 determine a transformed end effector destination by transforming the end effector destination from the environment coordinate system ECS to the robot base coordinate system RBCS, at least in part using the reference robot base position. The control system 130 can then calculate an end effector path extending to the transformed end effector destination in the robot base coordinate system RBCS. It will be appreciated however that this is not essential and alternatively path calculation can be performed in the environment coordinate system ECS.

In one example, the control system determines an end effector position and then calculates the end effector path using the end effector position, so that the end effector path extends from the end effector position to the end effector destination. The end effector position is typically determined in a robot base coordinate system using robot arm kinematics. In one example, the end effector position is the current position, but alternatively, the end effector position could be an expected position when the robot base reaches the reference robot base position, in which case the end effector position can be determined by transforming a current end effector position based on the reference robot base position.

The correction is typically indicative of a deviation of the end effector from the end effector path, which in turn is based on deviation of the robot base from an expected position. Accordingly, the control system calculates a robot base deviation based on the current robot base position and an expected robot base position, and then calculates the correction based on the robot base deviation. The expected robot base position can be based on a reference robot base position or a position the robot base is expected to be in based on traversal of a robot base path. Additionally, in situations where the end effector is being held stationary within the environment, the expected robot base position can be based on an initial or previous robot base position.

The reference robot base position is used to allow the calculation of the end effector path to take into account that the robot base is expected to move between end effector movement commencing and the destination being reached. Accordingly, while the reference robot base position can be a current or initial robot base position, more typically the reference robot base position is a predicted robot base position, based on movement of the robot base along a robot base path. Specifically, the reference robot base position is preferably an intended robot base position when the end effector reaches the end effector destination. Thus it will be appreciated that the reference robot base position could be calculated based on the expected position of the robot base as the destination is reached, so that the end effector moves along a direct path from the current position to the end effector destination in the robot base coordinate system RBCS.

When the reference robot base position is based on the position during interaction, the compensation need only account for unintentional movement of the robot base away from a robot base path extending to the reference robot base position. Although it will be appreciated this is not essential and alternatively the correction can take into account both unintentional and intentional movement. For example, the end effector path could be calculated based on an initial robot base position, with movement along a robot base path being compensated for using the end effector path.

In some circumstances it may be desirable to control the position of the end effector without using DST. An example of this arises when the end effector is interacting with objects solely within the robot base coordinate system RBCS, for example, to retrieve an object from a delivery mechanism mounted on the robot base. In this instance, as the object and end effector both move with the robot base, this does not require DST to be active.

Accordingly, the DST mechanism may need to be activated and deactivated, for example activating DST as the end effector transitions from collecting an object in the robot base coordinate system RBCS to placing the object in the environment E. As the robot base path might have undergone significant movement between the end effector path being calculated and DST being activated, fully activating the compensation mechanism could result in a large correction being calculated, which might not be practical as a result of robot arm dynamics.

Accordingly, in one example, the control system 130 scales the correction based on a relative distance of the current end effector position from the end effector destination. In particular, scaling can be used to effectively transition turning the DST on and off Whilst any form of scaling could be used, the control system typically scales the correction using an S shaped curve, to progressively apply the correction. This gradually turns on the correction and reduces the rate of increase of the scaling as the end effector nears the destination, thereby reducing large end effector corrections.

In one particular example, the control system 130 moves the end effector 113 between first and second end effector destinations defined in the robot base and environment coordinate systems RBCS, ECS respectively, with the control system scaling the correction based on the relative distance of the current end effector position from the first and second end effector destinations. Consequently, no correction is performed when the end effector is near the first end effector destination, whilst full correction is performed when the end effector is near the second end effector destination.

Throughout the above example, reference has been made to a robot base and end effector position. However, it will be appreciated that DST can also be applied to the orientation of the end effector, meaning in effect the above described process is implemented based on the end effector and robot base pose, and with the end effector destination being in the form of an end effector pose.

In this particular example, the control system determines an end effector pose relative to the robot base coordinate system, calculates the end effector path using the end effector pose and a reference robot base pose in the environment coordinate system, determines a current robot base pose using signals from the tracking system and calculates the correction based on the current robot base pose. In this example, the correction is typically in the form of a vector indicative of movement in each of six degrees of freedom. The control system then controls the end effector pose, thereby providing correction in all six degrees of freedom.

In one aspect a process for using a dynamic coordinate system is provided, and an example of this will now be described with reference to FIG. 12.

In this example, an end effector destination is acquired by the control system 130 at step 1200, using the techniques similar to those described above. At step 1210 the control system 130 determines a reference robot base position, which is typically determined in the environment coordinate system ECS, and which again could correspond to a current position, a position at which an interaction is expected to occur, or the like. At step 1220, an end effector path extending to the end effector destination is determined at least in part using the reference robot base position.

It will be appreciated that the above described steps 1200 to 1220 are generally similar to the equivalent steps previously described with respect to FIG. 10. However, in this example whilst the end effector path could be calculated in the robot base coordinate system RBCS more typically this is performed in the environment coordinate system ECS using the reference robot base position.

At step 1230, the control system 130 determines a current robot base position using signals from the tracking system 120. This is used to calculate robot arm kinematics at step 1240, so that the kinematics take into account the current robot position, and more typically a deviation from an expected robot base position. Specifically, in one example, the robot base position is used as an origin point of the robot arm kinematics, so that as the robot base moves within the environment coordinate system, this allows the origin point of the robot arm kinematics to be updated, allowing the robot arm to be controlled in the environment coordinate system.

At step 1250 control signals are generated based on the end effector path and the calculated robot arm kinematics, allowing the control system to apply the control signals to the robot arm at step 1260, thereby causing the robot arm to move. Steps 1230 to 1260 can then be repeated as needed, for example until an end effector destination is reached.

Accordingly, in contrast to the previous example which calculated a path correction indicative of a deviation of the end effector from a planned path, the above described example operates by modifying robot arm kinematics. In one particular example this is achieved by shifting an origin of the robot arm kinematic chain, based on movement of the robot base from an expected robot base position, so that the origin shift reflects movement of the robot base. This then modifies the positioning of the robot arm, so that the robot arm is controlled in a dynamic coordinate system that moves relative to the environment coordinate system ECS and enables the end effector to remain on the end effector path. This has the benefit of avoiding the need to calculate path corrections, and thereby reducing the computational complexity of performing DST.

Irrespective of this however, the robot base moves with a slower dynamic response, whilst the robot arm and hence end effector moves with a faster dynamic response, so that movement of the robot arm can be used to correct for movement of the robot base away from an expected robot base position, so that the end effector can be maintained in a desired position.

A specific example correction will now be described with reference to FIG. 13A to 13C, which show an end effector 1313 that is attached to a robot arm 1312, extending from a robot base 1311. The following example illustrates the dynamic coordinate system mechanism operating in two dimensions only, but it will be appreciated that this can extend to six degrees of freedom, and reference to two dimensions only is not intended to be limiting.

In this example, the end effector is maintained at a stationary position relative to the environment coordinate system ECS, and so the calculated end effector path is controlled based on a null path having an effective zero path length. Accordingly, the end effector 1313 is initially provided coincident with the destination 1351, as shown in FIG. 13A.

As shown in FIG. 13B, the robot base undergoes unintentional movement, moving a distance shown by arrow 1361, so that the robot base is now offset from the original robot base coordinate system RBCS. This results in a modified robot base coordinate system RBCS′, which can be applied to the robot arm kinematics as a shift in origin of the kinematics, causing the robot arm kinematics to be recalculated so that the end effector is moved as shown in FIG. 13C, thereby aligning the end effector with the destination 1351.

Accordingly, for an end effector path having a zero path length, the calculated robot arm kinematics returns the end effector to the end effector destination to thereby maintain the end effector static within an environment coordinate system. In particular, as the origin of the kinematic chain of the robot arm dynamically shifts in the environment coordinate system, the end effector destination is used to update the inverse kinematics (i.e. joint angles for each link of the robot arm) necessary for the end effector to remain static to thereby compensate for the moving origin of the robot arm.

It will be appreciated that similar techniques can be applied when traversing the end effector 1313 along a path and/or when moving the robot base 1311 and this will not therefore be described in further detail. However, it will be appreciated that for an end effector path having a non-zero path length, the calculated robot arm kinematics return the end effector to the end effector path. In this regard, as the origin of the kinematic chain of the robot arm shifts, the control system determines the desired end effector position on the end effector path and calculates the inverse kinematics required to achieve the desired end effector position on the path. In this example, the dynamic origin of the kinematic chain of the robot arm and the end effector destination (which may be a final destination or path point along the end effector path) are both expressed in the environment coordinate system which simplifies control of the system.

As mentioned above the end effector position is typically determined using robot arm kinematics, based on the robot base position in the environment coordinate system, allowing the end effector path to be directly calculated in the environment coordinate system ECS, and control performed in the environment coordinate system ECS, by shifting an origin of the robot arm kinematics based on movement of the robot base.

In another example, the end effector destination (i.e. desired end effector position) is determined in the environment coordinate system and then a transformation is applied to transform the desired end effector position into the robot base coordinate system RBCS. This is achievable since the origin of the robot base coordinate system RBCS is measured by the tracking system and expressed in environment coordinates. In this example, control could then be implemented in the robot base coordinate system RBCS by calculating the inverse kinematics required to move the end effector to the desired end effector position (which may be a path point along the end effector path or a final destination).

In one example, the end effector position is the current position, but alternatively, the end effector position could be an expected position when the robot base reaches the reference robot base position, in which case the end effector position can be determined by transforming a current end effector position based on the reference robot base position.

Typically the control system operates by calculating a robot base movement based on the current robot base position and then modifies the robot arm kinematics using the robot base movement. The movement is typically movement from an initial or expected robot base position, based on a robot base path extending to the robot base reference position. As in the previous example, the reference robot base position can be based on a current robot base position, a predicted robot base position based on movement of the robot base from a current robot base position, a predicted robot base position based on movement of the robot base along the robot base path, or an intended robot base position when an end effector reaches the end effector destination.

As in the previous example, although reference has been made to position only, the techniques are applicable to position and orientation. Accordingly, the end effector destination typically includes an end effector pose with the tracking system measuring a robot base pose and the control system determining a current robot base pose using signals from the tracking system and calculating the robot arm kinematics based on the robot base pose. In this case, the control system can determine an end effector pose and calculate the end effector path extending from the end effector pose to the end effector destination. Thus it will be appreciated that the above described technique can correct for variations in pose as well as adjusting for position only.

Whilst the above example has focused on scenarios in which the robot base moves, it will be appreciated that this is not essential and the same techniques can be implemented when the robot base is static and the environment is moving relative to the robot base. Additionally, whilst the description focuses on correction of unintentional movement only, it will be appreciated that the arrangement can also compensate for intentional movement of the robot base.

In one aspect a process for performing dynamic path planning is provided, and an example of this will now be described with reference to FIG. 14.

In this example, the end effector path is recalculated as needed based on movements in the robot base position. In order to achieve this, the control system 130 acquires the end effector destination at step 1400.

At step 1410, a robot base position is determined by the control system 130. An end effector path is then calculated at step 1420, with the path extending from the end effector position to the end effector destination. The path is typically calculated in the robot base coordinate system RBCS, which is achieved by transforming the end effector destination into the robot base coordinate system RBCS using the robot base position, although alternatively the path could be calculated in the environment coordinate system ECS.

At step 1430 robot control signals are generated with these being applied to the robot arm to cause the robot arm to move at step 1440. Steps 1410 to 1440 are then repeated as needed so that an end effector path is constantly recalculated based on a robot base position, for example taking into account deviation of the robot base position from a robot base path, thereby moving the end effector towards the destination.

A number of different example scenarios will now be described with reference to FIGS. 15A to 15F, which show an end effector 1513 that is attached to a robot arm 1512, which is in turn attached to a robot base (which is not shown for clarity). The following examples will illustrate the dynamic path planning mechanism operating in two dimensions only, but it will be appreciated that this can extend to six degrees of freedom, and reference to two dimensions only is not intended to be limiting.

In the example shown in FIG. 15A, the end effector path is of zero length so that a static end effector position relative to the environment is maintained. Accordingly, the end effector 1513 is initially aligned with the destination 1551. Unintentional movement of the robot base introduces an offset 1561 which results in a new path 1562 being calculated at step 1430, which returns the end effector 1513 to the destination 1551.

In the example at FIGS. 15C and 15D, the end effector 1513 is being moved along an end effector path 1555 to the destination 1551. In this instance, an unintentional movement results in an offset 1561 as the end effector is moved along the path 1563. This causes a new path 1565 to be calculated returning the end effector towards the destination 1551.

A further example is shown in FIGS. 15E and 15F, which involves moving the end effector along an end effector path 1555, and simultaneously moving the robot base along a robot base path 1553. In this instance, the reference robot base position is shown in dotted lines in FIG. 15E, so that the end effector path 1555 is initially calculated to be vertically down to the destination 1551 from the reference robot base position. The net path 1556 formed from a combination of the end effector path 1555 and the robot base path 1553 results in end effector movement from the current end effector position to the destination 1551.

In this instance as the robot base and end effector are moved along the net path as shown at 1563 an unintentional movement arises as shown as 1561. In this instance a new path 1565 is calculated from an updated reference robot base position, which when combined with robot base movement results in a new net path 1565.

It will be appreciated that whilst the above described technique requires that the path is constantly recalculated, which is generally computational more expensive than the previously described DST arrangements, this can have benefits. For example, the path traversed by the end effector tends to head in a more direct manner towards the destination, which then can result in a reduced number of path corrections and/or a reduced path distance. Additionally or alternatively, by reducing the number of corrections required, this avoids the end effector path oscillating around a target path to correct for movement of the robot base, which can reduce the need for sharp changes in direction, which can in turn help ensure that the path is within the constraints of the robot dynamics and can hence be more easily achieved.

As mentioned above, in one example, the end effector destination is typically defined relative to an environment coordinate system in which case the control system calculates a transformed end effector destination by transforming the end effector destination from the environment coordinate system ECS to the robot base coordinate system RBCS at least in part using the robot base position. An end effector path can then be calculated extending to the transformed end effector destination in the robot base coordinate system. However alternatively the path calculation can be performed in the environment coordinate system ECS.

It will be appreciated that the current robot base position could take into account robot base movement along a robot base path. Accordingly, in this instance the end effector path would be calculated based on a reference robot base position, to take into account movement of the robot base along a robot base path, with the end effector path being calculated based on a deviation of the robot base position from the robot base path.

As in previous examples, the robot base moves with a slower dynamic response, whilst the end effector moves with a faster dynamic response, so that movement of the end effector can be used to correct for movement of the robot base away from an expected robot base position.

Whilst the above has been described with reference to position only, it will be appreciated that the techniques are also applicable to position and orientation. Accordingly, in one example the end effector destination includes an end effector pose and the tracking system measures a robot base pose. In this example, the control system determines a robot base pose using signals from the tracking system and calculates an end effector path based on the current base pose. In one particular example the control system determines an end effector pose relative to the robot base coordinate system and determines a current robot base pose using signals from the tracking system using both of these to calculate the end effector path.

In one example, the control system includes a computer numerical control (CNC) system. In this regard, the CNC system can be formed as a standalone module, implemented as software, firmware, hardware or a combination thereof. In this instance, additional functionality can be calculated by other modules. For example, the system may implement a DST module, which interfaces with the CNC module, to allow the system to be controlled. For example, the DST module can calculate a correction or robot arm kinematic origin shift, providing this to the CNC module to allow the robot arm to be controlled.

Throughout the above examples, and particularly when implementing DST, the steps are repeated to constantly update or correct for movement of the robot base. This is typically repeated for processing cycles of the control system, and in particular consecutive processing cycles of the control system. Thus, a new correction, robot arm kinematic origin shift or new path can be calculated for each clock cycle of the control system. In a further example, this is also performed based on a refresh rate of the tracking system, so that a new correction, etc, is calculated each time the tracking system updates the robot base position. It will be appreciated from this, in one preferred example, the processing cycle of the control system and refresh rate of the tracking system have the same frequency, and even more preferably are time synchronised.

The control signals are typically generated taking into account an end effector velocity profile, robot dynamics and/or robot kinematics. This is performed to ensure that the robot arm is able to perform the necessary motion. For example, a calculated end effector path could exceed the capabilities of the robot arm, for example requiring a change in movement that is not feasible, or requiring movement at a rate that cannot be practically achieved. In this instance, the path can be recalculated to ensure it can be executed.

In one example, this can be achieved by performing a movement that corresponds to the original planned movement, but which is limited in magnitude to a feasible movement. In this instance, if further movement is required, this can be implemented in successive processing cycles.

An example of an overall control approach in which DST is performed using dynamic compensation will now be described with reference to FIGS. 16A to 16C. For the purpose of this example, it is assumed that the system is similar to that described above with respect to FIGS. 1B and 1C, with the robot arm being mounted on a boom.

In this example, a robot base path is retrieved at step 1600. It will be appreciated that this can involve calculating a robot base path, for example using the process described above with respect to FIG. 6.

At step 1602 tracking system signals are acquired with these being used to determine a current robot base pose at step 1604. In particular, this would be calculated based on a tracking target pose, and transformed into a current robot base pose using a geometrical transformation. As previously described, in a preferred arrangement, the robot base pose is preferably a virtual robot base pose, which is physically offset from the robot base, and aligned with the end effector.

At step 1606 it is determined if an interaction window is reached and if not the process moves on to step 1630. Otherwise assuming an interaction window has been reached a next step is selected at step 1608, with an end effector path being calculated and/or retrieved at step 1610, for example using steps 1000 to 1030 of FIG. 10.

At step 1612 it is determined if stabilisation is required and if not, for example if the step involves retrieving an object from a delivery mechanism mounted on the robot base, the process proceeds to step 1624.

Otherwise, at step 1614, a robot base pose deviation is calculated based on a deviation between a current robot base pose and expected robot base pose, as calculated from the robot base path. A scaling factor is then determined at step 1616, based on a proximity of the end effector to the end effector destination. At step 1618, the robot base deviation is used to calculate a correction in the form of a vector including offsets for each of six degrees of freedom, and representing the offset of the robot base pose from the expected robot base pose. The correction is then scaled based on the scaling factor.

A robot kinematic transform is calculated using the end effector path and the scaled correction at step 1620, with this being assessed to ensure dynamics are feasible at step 1622. In this regard, the correction may require that the robot arm undergo a movement which exceeds the robot arm's capabilities, for example requiring a movement that is too rapid. If the movement is not feasible, this can be recalculated or modified, for example by limiting the resulting magnitude of the correction based on the robot arm dynamics. In one example, this is achieved by returning to step 1618, to recalculate the correction. However, this is not essential and in one example, the control signals could be generated at step 1624 based on the robot arm dynamics to simply implement the correction to the maximum degree possible before the next processing cycle of the control system. Thus, if the correction requires end effector movement of 10 mm, but only a 5 mm movement can be achieved prior to the next processing cycle implemented by the controller, then the 5 mm movement would be implemented.

At this point, the control system 130 can determine if the interaction is proceeding on schedule at step 1626, and if not the control system 130 modifies the boom speed at step 1628, for example to slow down movement of the boom. Whether or not the boom speed is modified, the resulting boom control signals are generated by the control system 130 at step 1630.

Control signals are then applied to the respective actuators at step 1632, to thereby move the boom and end effector. Tracking system signals are acquired at step 1634, with this being used to determine a current base pose, following movement of the end effector and robot base, at step 1636.

At step 1638, an assessment is made of whether the step is completed and if not the process returns to step 1612 to again determine if stabilisation is required. Otherwise it is determined if all steps are complete at step 1640, with the process returning to step 1608 to select a next step if not. Otherwise the process returns to 1606 to determine whether a next interaction window has been reached.

It will be appreciated that by following the above described sequence, this allows the boom to be progressively moved along the boom path with interactions being performed by performing sequences of steps, with each step involving the determination of an end effector path with the end effector being moved along the end effector path to a destination.

Whilst the example of FIGS. 16A to 16C focus on the use of dynamic compensation, it will be appreciated that similar approaches can be used for both dynamic coordinate system and dynamic path planning approaches to DST.

In one aspect a backup tracking process is provided, and an example of this will now be described with reference to FIG. 17.

In particular, the back-up tracking process is utilised in case the tracking system 120 fails. In this instance, the apparatus typically includes a first tracking system similar to the tracking system 120 described above, which measures the robot base position relative to the environment coordinate system ECS. A second tracking system is also provided, which measures movement of the robot base, for example using an Inertial Measurement Unit (IMU) 226 mounted on the robot base 111, which can communicate with the control system 130 via a respective IMU controller or processor. Such IMUs are well known and will not therefore be described in any detail.

In this arrangement, the first tracking system is typically used exclusively when functioning correctly, with the second tracking system being used as a back-up in the event that the first tracking system fails. In this regard, failure may arise for any one of number of reasons and could include a communications failure, processing failure, or could include occlusion of a tracking beam, such as a laser beam, in the case of a laser tracking system.

In this process, at step 1700 the control system 130 receives signals from the first tracking system, with these being used to detect failure at step 1710. This can be achieved in any suitable manner depending on the nature of the failure and examples of this will be described in more detail below.

If the first tracking system has not failed, the control system 130 calculates the robot base position and/or pose at step 1720, with the robot base and end effector being optionally moved at steps 1730 and 1740. Following this the process returns to step 1700, allowing this process to be repeated. Thus, it will be appreciated in this instance that if the first tracking system has not failed, then operation is substantially as previously described.

However, in the event that tracking system failure is detected at step 1710, signals from the second tracking system are acquired by the control system 130 at step 1750, with these being used to determine a robot base position and/or pose at step 1760. In practice the signals from the second tracking system are typically movement signals indicative of movement of the robot base, with these being used together with a last known location of the robot base, to determine the current robot base position.

At step 1770, the robot arm is optionally moved, depending on whether movement is required to follow a robot base path. In the event that movement occurs, this is typically at a reduced speed below that of the original robot base path velocity profile. Similarly, the end effector could be moved at step 1780, by moving the robot arm, with this again being performed at a reduced speed, compared to an end effector path velocity profile.

Following this the process returns to step 1700 with the control system 130 attempting to determine signals from the first tracking system to determine if this is functioning correctly, allowing the process to be repeated.

Accordingly, the above described system uses a first absolute position tracking system but reverts to use of a second movement tracking system, such as an inertial guidance system, in the event that the absolute position tracking system fails. As such inertial systems are typically not as accurate and are subject to drift over time, it is typical to move the robot base and/or robot arm more slowly to decrease risks of collision, and allowing the inertial to operate as accurately as possible.

An example of the process for detecting failure will now be described with reference to FIG. 18.

In this example, at step 1800 the control system 130 attempts to acquire signals from the first tracking system. If signals cannot be acquired, then a failure is detected at step 1810, and the process moves on to step 1870. If signals are detected, these are assessed to determine if the signals are error signals at step 1820, if so a failure is detected and the process proceeds to step 1870.

Otherwise the control system moves on to determine a robot base position at step 1830. This is then compared to a previous robot base position to determine if a change in position exceeds a threshold, corresponding to a viable amount of movement. For example, if the degree of movement since the last position measurement exceeds the threshold, this is likely to indicate that at least one of the measurements is inaccurate and accordingly, a failure is detected at step 1870. Otherwise a failure is not detected, and the first tracking system can be used to determine the position of the robot base.

In the event of failure of the first tracking system, the control system 130 typically progressively reduces a robot base speed and halts movement of the robot base after a predetermined time period. Similarly the control system typically progressively reduces the end effector speed and halts movement of the end effector after a predetermined time period. Thus, the speed of the robot arm and robot base can be reduced progressively over subsequent processing cycle iterations, so that the robot arm and/or robot base stop after a set period of time, to thereby further prevent any collision. This can be achieved in any suitable manner, but typically involves scaling the end effector path velocity profile and/or robot base path velocity profile. In the event that the first tracking system commences correct operation again, the speeds can be progressively increased over subsequent processing iterations, to thereby gradually return the end effector and robot base to their intended velocities, thereby avoiding sharp transitions in velocity, which could in turn induce vibrations in the robot actuator, leading to unintentional movement of the robot base.

In addition to using signals from the second tracking system to control the robot arm and/or robot base actuator, the control system can also use signals from the second tracking system to control the first tracking system in an attempt to restore operation of the first tracking system. For example, if the tracking system operates by mutual position recognition of the tracking head and target, these can become unsynchronized should robot base move more than a set distance while the first tracking system is not operating. Accordingly, signals from the inertial sensing system can be used to guide the tracking head and target, allowing contact to be re-established without necessarily requiring that the robot arm is halted.

A further specific example will now be described. In particular, in this example, the control systems and methods of the invention have been developed by the inventor in connection with an automated brick laying machine. For a more detailed description of the brick laying machine, reference is made to the patent specification titled “Brick/Block Laying Machine Incorporated in a Vehicle” which is the subject of international patent application PCT/AU2017/050731, the contents of which are incorporated herein by cross-reference.

An example of the automated brick laying machine is shown in FIGS. 19 to 25.

In this example, the automated brick laying machine 1911 is built around a vehicle in the form of a truck 1913 and has a base supporting a telescoping articulated boom assembly indicated generally at 1915, comprising long telescopic boom 1917 and telescopic stick 1919. Mounted to a remote end 1921 of the stick 1919 is an end effector in the form of a laying head 1923 that supports a six axis robot arm 1925 that moves a further end effector 1927 to manipulate the bricks 1929. The robot arm 1925 has a robot base 1931, and mounted above the robot base 1931 is a first target in the form of a six degree of freedom (6 DOF) high data rate position sensor 1933, that provides 6 DOF position coordinates, relative to a fixed ground reference 1935, to a control system. Mounted on the end of the robot arm 1925 immediately above the end effector 1927 is an optional second target in the form of a 6 degree of freedom (6 DOF) high data rate position sensor 1937, which provides 6 DOF position coordinates, relative to the fixed ground reference 1935, to the control system. It will however, be appreciated that the end effector position could be determined based on the robot base position and the robot arm kinematics, thereby obviating the need for the second position sensor 1937.

The head 1923 is supported at the remote end of the stick assembly 1919 (remote end of the boom 1915) about a pivoting horizontal axis 1938 (horizontal with reference to the state of the vehicle 1913, assuming the vehicle is stabilised level, absent any torsion).

In a general embodiment, the vehicle 1913 supports a boom 1915 which supports a robotic arm 1925 that supports an end effector 1927. The head 1923 may optionally be omitted between the boom 1915 and the robot arm 1925, but given the tasks to be performed by the end effector 1927, particularly the application of adhesive in a brick laying application, it is more practical to include the head 1923.

The vehicle 1913 may be parked stationary or jacked up on support legs 1939. As an alternative, the vehicle 1913 may be programmed with a first CNC channel to move, or may be manually driven, along a path. In this case a further third target in the form of a 6 degree of freedom (6 DOF) high data rate position sensor 1941 may be provided, that also provides 6 DOF position coordinates, relative to the fixed ground reference 1935, to the control system. It will however, be appreciated that the vehicle position could be determined based on the robot base position and the boom kinematics, thereby obviating the need for the position sensor 1941. Where the vehicle traverses a path in this manner, there may need to be multiple fixed ground references of the same type of the fixed ground reference 1935. Alternatively, in another embodiment, a low data rate and low accuracy position sensor such as GPS could be utilised, but high data rate is preferred.

For faster data handling it may be desirable to have multiple ground references 1935a, 1935b, 1935c, each dedicated to their respective sensor 1933, 1937 and 1941, as illustrated in FIG. 20.

The boom 1915 is programmed with a second CNC channel to move the TCP of its end effector (located at the tip) of the boom to the required coordinates.

The robot arm 1925 is programmed with a third CNC channel to move the TCP of its end effector 1927 to conduct tasks.

Optionally the end effector 1927 may include a fine dynamic compensation mechanism for very accurate work. Such a system may include a galvo mirror to be used with a high power laser for laser cutting, engraving or 3D additive laser melting manufacture. The end effector is programmed with a fourth CNC channel to move the TCP of the fine dynamic compensation mechanism.

Referring to FIG. 22, detail of one embodiment is shown. A control system is provided for the boom 1915 supported from a boom base in the form of the truck 1913. The boom 1915 has the head 1923 mounted about a horizontal pivot axis 1938 at the remote end of the stick assembly 1919. The robot arm 1925 is mounted by the robot base 1931 to the head 1923. The end effector 1927 which comprises a gripper to pick up bricks is mounted for pitch roll and yaw movement to the end of the robot arm 1927.

The control system includes a boom controller interfaced with a boom actuator in the form of hydraulic rams 1945 and 1947 (and a rotating mechanism within the truck body—not shown) to move the boom 1915 relative to the vehicle 1913 by to position the head 1923 and hence the robot base 1931 to a programmed location. The control system also includes a robot arm controller interfaced with a robot arm actuator to position said end effector at a programmed position and orientation. The tracker system has fixed ground reference 1935a to track the position of the first target 1933 located by an offset proximal to the robot base 1931. The tracker system has fixed ground reference 1935b to track the position and orientation of one of two second targets 1949 (whichever is visible) located with a TCP offset from the TCP of the end effector 1927. The tracker system tracks the position of the first target 1933 and feeds data to said boom controller to operate said boom actuator with a slow dynamic response to dynamically position said first target 1933 close to said offset to position said robot base 1931 close to said programmed location, so that the end effector 1927 is within range of the position in which it is required to perform work. Since the targets 1949 move with the end effector 1927, and the end effector can move with six degrees of freedom, and the tracker system tracks both the position and orientation of said second target with six degrees of freedom and feeds data to the robot arm controller to operate said robot arm actuator (including the end effector) with a fast dynamic response to dynamically position and orientate said second target to said TCP offset from said programmed position and orientation.

The control system may controllably switch control of the robot arm controller between a first state where the robot arm controller is responsive to positioning feedback data derived from the tracker system, and a second state where pre-calibrated positioning data referenced to the robot base (and hence the remote end of the boom) is relied on. The movement at the end effector 1927 relative to the robot base 1931 is represented by trace 2351 in FIG. 23, which shows deviations due to dynamic structural effects on the boom, wind deflection or vehicle movement, and the second state position for the robot arm is indicated at 2353. When switched between the first state and the second state, said robot arm controller controls movement of the robot arm to damp or smooth movement of the robot arm, through the transition between the first state and the second state, indicated by trace 2355, to avoid sudden movement of the robot arm and said end effector. Such sudden movement could feed back to the boom, causing the boom to undergo reactive movement.

The switching between first and second states deals with applications that require the end effector to alternately be controlled relative to the machine structure and then the ground, for example to pick up a brick from part of the machine and then to lay a brick on a wall relative to the ground.

FIG. 24 shows the end effector 1927 picking up a brick from the end of the boom. In this configuration the control system is in the second state and the tracker system need only track the first target 1933. FIG. 25 shows the end effector 1927 about to lay the brick. In this configuration the control system is in the first state, and the tracker system must track the first target 1933 and the second target 1937. The control system transitions from the second state to the first state and vice versa in a slow manner, over a period of about a second, to damp the movement of the end effector.

If the compensation was turned on or off immediately, the pose of the compensating robot would have to change instantly, giving very large forces and disturbance to the boom. To overcome this problem, it is necessary for the compensation to be transitioned on or off or damped so that the amount of compensation is gradually increased or decreased to the required amount over a period of time, typically 0.2 to 0.5 seconds (or up to 10 seconds for large machines, or perhaps as low as in the order of milliseconds, up to 0.1 seconds for small machines). With a dynamic base coordinate system it is necessary to achieve the transitioning effect by moving the base coordinate system from its programmed position to the actual position over a period of time. It is important to check that the amount of compensation that will be applied is within the working range of the compensation robot.

This is done by checking that the pose of the robot will be within the working envelope. (If the calculated amount of compensation to be applied would move the end effector beyond its working range, or exceed the robot arm dynamic limits of jerk, acceleration, or velocity), if the actual position and orientation of the dynamic base coordinate system would place the robot in a pose beyond its working range of axis travel or the TCP outside of the working envelope of the robot arm, or exceed the end effectors dynamic limits of jerk, acceleration, or velocity the amount of shift of the base dynamic coordinate system from the programmed location to the actual location (or the application of the compensation amount), may be scaled back, or motion may be held until the system is returned to within its working range and/or a warning can be issued within the controller.

Dynamic compensation transitioning works by, incrementing if compensation is turning on, or decrementing if compensation is turning off, a transition factor between a value of 0 and 1, so that it S curve ramps over the desired period of time, then, for each control cycle:

- Measure the actual 6dof coordinates of the tip tracker. Calculate the 6DOF coordinates of the actual coordinate system of the base of the fine robot
- If the transition factor is 1, then use the actual coordinate system of the base of the fine robot as the dynamic coordinate system.
- If the transition factor is not 1 then:
- Determine the programmed position of the coordinate system of the base of the fine robot by considering the programmed position of the boom tip and adding the kinematic transformation to the base of the fine robot.
- If the transition factor is 0, then use the programmed position of the coordinate system as the dynamic coordinate system.
- If the transition factor is between 0 and 1 then:
- Calculate a 6DOF delta vector from the programmed to the actual coordinate system of the base of the fine robot.
- Scale the 6DOF vector by the transition factor to give a scaled vector
- Add the scaled vector to the programmed position of the coordinate system to give the dynamic coordinate system.
- Check the pose and dynamics to ensure that the fine robot is within its working range. Go to warning, hold or scaling algorithms.
- If the transition factor is less than 1, increment the transition factor, preferably using an S curve formula.

Preferably said machine includes a tracker component mounted to said head, wherein said head has said robotic arm assembly with said end effector and said machine uses a tracker system to measure the position and orientation of the tracker component and uses said measurement to calculate the position and orientation of a base coordinate system for said robotic arm assembly. The robot arm end effector TCP is programmed to do tasks in either a coordinate system fixed to the head (equivalent to the robot base coordinate system RBCS above), or in a coordinate system fixed to a workpiece, fixed to the ground (equivalent to the environment coordinate system ECS above). The programming can shift between the head coordinate system or the workpiece coordinate system, which in one example is performed by transitioning, which will be explained below.

Transitioning to the dynamic base coordinate system involves moving the dynamic base coordinate system from a theoretical perfect position and orientation to an actual position and orientation (obtained by a measurement of the position and orientation of a tracker component fixed to the head), in a gradual and controlled way.

Transitioning from the dynamic base coordinate system involves moving the dynamic base coordinate system from an actual position and orientation (obtained by a measurement of the position and orientation of a tracker component fixed to the head), to the programmed (ie a theoretical) perfect position and orientation in a gradual and controlled way.

The most elegant mathematical approach to the arrangement is to have the boom TCP, tip tracker centre point and the dynamic coordinate system of the base of the robot arm coincident and aligned. In this way the kinematic transform set up in the boom CNC channel has its TCP coincident with the tip tracker centre point. The kinematic transform of the robot arm CNC channel has its dynamic base coordinate system coincident with the tip tracker.

Those skilled in the art will appreciate that the boom TCP could be at position different to the head base dynamic coordinate system and different to the tip tracker centre point and mathematical transforms can be used to calculate the theoretical perfect position of the robot arm base dynamic coordinate system. This is a more complicated and less elegant solution than that outlined above with coincident boom TCP, tip tracker CP and robot arm base dynamic coordinate system.

The control system uses a dynamic coordinate system offset or a plurality of dynamic coordinate system offsets to shift the base coordinate system of the robot arm in real time in the ground coordinate system. The control system then uses a kinematic transformation to calculate the required joint positions (angular or linear joints) to position the end effector at the programmed position in the ground coordinate system, rather than in the robot base coordinate system.

For large area tasks it may be necessary to move the vehicle relative to the ground. The vehicle movement relative to the ground may be automatically controlled or may be manually controlled within pre-calculated guidelines. In any case the location of the machine base is guided by either wheels or tracks, chains or rails or legs and feet and may not be very accurate. In this case, a multi stage control system is used, the first stage approximately positions the vehicle, the second stage positions a boom to a desired tip location and corrects at a slow rate any errors due to vehicle position and orientation and boom deflection and a third stage measures the position and orientation of a third stage robot arm base coordinate system and then precisely positions and compensates to stabilise and guide an end effector relative to the ground coordinate system. The number of stages of measurement and control may be extended to any plurality of control systems, dynamic coordinate systems and measurement systems. It is important for stability that the bandwidth of the control and the mechanical response speed of the motion systems increases from vehicle to end effector.

In some situations, it is necessary to stabilise the end effector relative to a moving object rather than the ground. Provided the relative position of the vehicle coordinate system and the tip tracker coordinate system is measured relative to the moving object coordinate system (or vis versa), compared to the vehicle, the moving object may be regarded as analogous to the ground, except that it is not an inertially fixed coordinate system. In this case, preferably a measurement to an inertially fixed coordinate system (eg earth or an INS, albeit a slowly rotating coordinate system) is also made to enable motion dynamic limits to be observed.

The control system can be used for tasks such as automated brick laying, precision mining, machining, robot assembly, painting and 3D printing. It has particular application for automated trenching for infrastructure pipelines, railway and road construction, automated pipe laying and for building long walls such as freeway sound wall.

The invention can be applied to airborne or seaborne equipment for applications such as dredging, seawall construction, oilfield and wind turbine maintenance, crew transfer, ship to ship transfer or air to air transfer or refueling or helicopter powerline maintenance or helicopter logging.

The invention applies to multiple kinematic chains and multiple dynamic coordinate systems. The invention is particularly useful to stabilise, relative to the ground, an end effector, attached to a boom that is on a moving machine. When a machine moves, the acceleration of the machine imparts a dynamic force to the boom and the boom starts to oscillate at its natural frequency. Provided the compensating robot at the end of the boom has an amplitude larger than the amplitude of the boom motion, and a response much faster than the natural frequency of the boom (and vehicle), the compensating robot can correct for the boom motion due to bounce from the vehicle travel. The compensating robot does not have much range of motion so it is necessary to also correct the pose of the boom to keep the compensating robot within its available range of motion.

The actuation of the compensating robot imparts dynamic forces to the boom, which in turn further excite the boom. To minimise jerky motion of the boom, it is desirable for the boom to be rigid and free of mechanical play and backlash.

It is desirable for the (optional) moving vehicle to travel smoothly, so it is desirable for the ground it moves over to be graded and it is desirable for the vehicle to have suspension. Ideally the suspension is self-levelling. Optionally the vehicle may be fitted with a controllable blade so that it levels the ground before it drives over it. Optionally the end effector may be a blade or bucket and the machine may grade and level its own path prior to moving on to it.

To minimise jerky motion of the machine and the boom the control system of the vehicle of the machine is used to carefully control the motion. Preferably a mode of operation can be set when stabilised end effector operation is desired. The vehicle and boom motion is preferably jerk, acceleration and velocity limited. In an electro hydraulic control system, the electrical pilot system is controlled to limit the available control input. In a servo electric system, the servo dynamics are limited, preferably by the CNC channel and axis configuration. Preferably full CNC path planning is utilised rather than set point or point to point motion control. A full CNC path planner calculates path points for every control cycle (typically every ms). Preferably it calculates a path to optimise position, velocity, acceleration and jerk. A point to point control simply changes the set point to the desired end point, so that a large control feedback error value is created and the feedback control loop commands the motion to close the error.

The measurement of the vehicle position and orientation may be back calculated from the measurement of the 6DOF tip tracker (using the inverse kinematic chain of the boom, which of course will not take into account deflection or vibration of the boom, unless it was measured for example by accelerometers, but would typically have the tip tracker motion heavily filtered to smooth the vibration component of the motion). Preferably the vehicle position and orientation is provided by a position tracking device fitted to the vehicle of the machine, or a part of the machine near the vehicle, such as the cab on an excavator. The vehicle tracking device may have a relatively low data rate and low accuracy such as GPS or total station target but the best performance would be achieved with an accurate sensor system such as a laser tracker and smart track sensor.

The motion of the boom is controlled at a bandwidth significantly less than its natural frequency (1% to 10% or 10% to 20% or 30% to 50% or 50% to 99%) so as to slowly compensate for boom motion errors and deflection and base motion errors or movement. The controlled motion of the boom aims to correct the position of the tip of the boom, but not necessarily the boom tip orientation. The boom control and response may have a bandwidth of 0.1 to 1 Hz, or 1 Hz to 10 Hz or 10 Hz to 30 Hz. The end effector compensating robot must have a high natural frequency (relative to the boom and base) and a fast dynamic response. The compensating robot compensates and stabilises in 6 DOF. The measurement system of the tip tracker must have a high data rate, preferably at the same servo loop control rate as the end effector control system, a minimum of 250 Hz and preferably 1000 Hz or greater (perhaps 10 kHz). If the data rate is significantly lower, the dynamic coordinate system position and orientation (ultimately resulting in a compensation input) has step changes that may induce structural vibration as the system responds to the actuator force inputs. If the step changes are filtered to provide a smooth change, a delay and motion lag is introduced and the end effector position is not accurate and may oscillate relative to the ground.

A chain of dynamic coordinate systems and a machine with a chain of compensating booms and robotic compensating end effectors is useful in many applications requiring fine position and motion control over a large working volume.

Some example applications are given below:

Ship Transfer

Ship to ship, or ship to oil rig, or ship to gas rig, or ship to wind turbine, transfer of goods, liquids or personnel, is a potential application for the control system of the invention. It is known to stabilise a vessel for position holding. It is also known to roll stabilise a vessel with gyros or thrusters. It is known to yaw stabilise a vessel with thrusters. It is also known to provide heave, pitch, roll and yaw compensation to working devices such as booms.

However, it is known that for long booms in heavy sea states the existing methods of compensation have limitations. A coarse boom positioning and fine end effector positioning, or even additional stages of fine positioning would enable safer transfer, hook up, disconnection and operations in larger sea states and rougher weather.

For example FIGS. 27 and 28 show a boom 2715 mounted on a FPSO 2759 (Floating, Production, Storage and Offloading vessel) transferring LNG to a LNG tanker 2757. The boom 2715 has a fine positioning arm 2725 which can approach close to or connect to the tanker. Trackers 2735a, 2735b measure the relative position of the boom tip 2733 and the tip 2737 of the fine positioning arm. If the fine positioning arm is connected or engaged with the tanker 2757, the control system is switched to a passive mode (ie no active control) so that the fine positioning arm now acts as a suspension system to absorb relative movement between the boom tip and the tanker.

Referring to FIG. 29, a platform stabilised in six degrees of freedom by a Stewart Platform 2971 on the deck of a supply vessel 2963, relative to an oil or gas rig 2965 or FPSO (Floating Production Storage and Offloading vessel), as illustrated, would enable much safer transfer of goods and personnel using the existing cranes on the rig or FPSO. Tracker 2967 on the rig 2965 tracks target 2969 on the vessel 2963, while tracker 2935a on the vessel tracks target 2933 at the end of the boom 2915. This data is fed to the control system located with the base of the boom on the rig via radio link as necessary to control the boom 2915 and end effector 2927 as discussed, and may also be fed back to assist to control the Stewart Platform 2971 on the deck of the vessel 2963. This provides a particularly significant operating advantage for handling large and expensive items. Currently when sea state reaches a limit, transfers have to be stopped.

This could have great benefit for petrochemical, renewable energy and military operators (and others) that require or desire to transfer things from vessel to vessel or vessel to fixed objects in all weather conditions.

Long Building

Long structures such as road freeway sound walls can be built by the brick laying machine, as shown in FIG. 26. With traditional arrangements it is necessary to build from one location, then reposition periodically and build from the next stationary location. It would be advantageous to be able to build from a creeping machine. This would reduce lost time to reposition and would enable a smaller more compact machine with a shorter boom. A track mounted machine 2613 with a short boom 2615 would be ideal. Multiple fixed ground references 2635 are provided to facilitate this.

Long Trenching

Long trenches for infrastructure such as underground pipe lines and underground cables can be dug with known continuous trenching machines (such as made by Ditch Witch or Vermeer) or for larger cross section trenches with excavators (such as made by Caterpillar, Volvo, John Deere, Komatsu and others). For many applications the precise grade and location of the trench and pipe is important, such as for sewerage pipe. For many applications knowing the precise position is important, such as in cities to avoid damaging existing infrastructure such as pipes, cables, foundations and underground train and road tunnels. Current systems allow some control of the digging and provide feedback to the operator of dig depth or bucket position. In current system the base of the machine (the tracks) must be stationary.

The dynamic control system described allows precision digging to a tolerance that cannot be currently achieved by other methods. Further-more it allows pre-programmed digging for completely autonomous operation. Further-more it allows precision digging from a continuously moving machine such as a tracked excavator creeping along the path of the proposed trench.

Ground Contouring

It is known to use graders, bulldozers, loaders, gradall or automated screeding machines to smooth earth or concrete surfaces with blades or buckets. The inherent design of the machine will achieve a flatter surface than it moves over because the geometry of the machine provides a smoothing action. It is known that a more accurate and faster result can be achieved with automatic control to maintain the bucket or blade on a predefined level, grade or contour. The blade or bucket is moved up or down or tilted about a roll axis automatically to maintain a laser plane level or grade or to match a contour referenced by GPS or total station measurements. These known control systems have a low bandwidth and the machine achieves an accurate result because the inherent design of the machine will achieve a flatter surface than it drives over, even without machine guidance.

The present invention allows more complex machine arrangements such as a (modified) excavator, to be fitted with a multi axis controlled blade or bucket to achieve very complex earthmoving tasks in a completely programmable way.

Mining

It is known to use autonomous trucks for mining.

Excavators and face shovels are currently operated by machine operators. This technology enables autonomous control of excavators and face shovels by pre-programming the base movement (track base) and the dig program in mine coordinates.

Dredging

Excavators mounted on barges are used for dredging. Dredged channel depth, width, profile and location is extremely important for shipping safety. Dredging is expensive so it is advantageous to minimise the amount of spoil moved. The more accurate the dredging, the less spoil needs to be removed.

The barges are floating so as the excavator moves, the barge pitches and rolls and moves. Measuring the barge position and orientation in 6dof in real time enables the bucket position to be precisely calculated (via known sensors that measure the pose of the excavator), or even controlled to a set of pre-programmed dig locations.

Elevated Work Platforms

It is known to use various kinds of elevated work platforms (EWP) such as boom lifts or scissor lifts or vertical telescoping lifts made by manufacturers such as JLG, Snorkel and Genie. It is known that very tall boom lifts sway with a large amplitude and make work difficult, dangerous or impossible. The sway is the limiting factor for the height that boom lifts can work at. It is known that driving the boom lift or EWP with the platform up excites sway and makes the platform uncomfortable or dangerous. The present invention provides means to make a stabilised platform so that the platform is stabilised relative to the ground, or to a desired trajectory when the platform or EWP is moved.

Cable Suspended Robots

It is known to support a robot on a platform suspended by cables in tension supported by an overhead gantry or towers (see PAR Systems—Tensile Truss and Chernobyl Crane and demolition robot). The cables can support high loads but the structure has low stiffness. The lateral stiffness is very low. The accuracy of the positioning of the robot and end effector would be greatly improved by adding a tracking component to the suspended platform to provide a 6DOF position of the base of the robot arm. This would enable such a system to do accurate work, rather than the relatively inaccurate demolition work it is presently employed to do.

Very Accurate Applications

Such a system may include a galvo mirror to be used with a high power laser for laser cutting, laser engraving or 3D additive laser melting manufacture.

It will be appreciated that a wide range of other uses are also envisaged. For example, the system can be used to perform construction of multi-story and/or high-rise buildings. In this regard, the robot base can be supported by or remotely to the building during construction, with the system being used to compensate for movement of the robot base relative to the building, which might arise from wind loading of the building and/or the support system used to support the robot base.

The system could also be used with a wide range of additional vehicles to those mentioned above, such as space vehicles. In this example, the robot base could be mounted on the space vehicle, allowing this to be used to perform an interaction with another vehicle, for example to facilitate docking, satellite retrieval, or the like, or other objects, such as interaction with an asteroid or similar.

In one example, the system uses a cascading system of positioning devices, measurement systems and control channels. In one embodiment, a wide ranging inaccurate gross motion system guides a vehicle which supports a large area coarse positioning boom which then supports a small dynamic compensation and fine positioning robot which then in turn supports an even finer dynamic compensation and positioning mechanism.

In one example, the system describes dynamic coordinate systems and methods of moving machines and stabilising end effectors. In preferred embodiments, methods of transitioning compensation on and off, or damping transitioning are provided, so that the robot arm moving the end effector may work alternately in a head coordinate system and a ground or work coordinate system.

It is advantageous to code a kinematic transformation as a stand-alone piece of software. This means that the CNC kernel does not have to be modified to accommodate different kinematic chains. By using a dynamic coordinate system as the base of the end effector robot kinematic chain, the end effector can be programmed in a work coordinate system and all of the normal CNC coordinate shifts and transformations work, such as offsets for work coordinates and coordinate system rotation.

With a dynamic coordinate system for the base of the kinematic chain of the robot arm the concept of a compensation amount is abstract. If the base of the kinematic chain of the robot arm was at its programmed location there would be no compensation amount and the robot arm would be in a first pose. If the base is at its actual location and the robot arm was in the first pose, the end effector would be at the wrong location (and in the wrong orientation), the difference being the compensation amount.

In one example, there is provided a control system for an arm supported from an arm base, said arm having an end effector mounted therefrom, said end effector having a further arm supported by a further arm base and said further arm having a further end effector mounted thereon, said arm being moveable relative to said arm base by an arm controller interfaced with an arm actuator to position said end effector to a programmed location, said further arm being movable by a further arm controller interfaced with a further arm actuator to position said further end effector at a programmed position; said control system having a tracker system to track the position of a first target located by an offset proximal to said further arm base or end effector, and to track the position and orientation of a second target located with a TCP offset from said further end effector; wherein said tracker system tracks the position of said first target and feeds data to said arm controller to operate said arm actuator with a slow dynamic response to dynamically position said first target close to said offset to position said further arm base close to said programmed location, and said tracker system tracks the position and orientation of said second target and feeds data to said further arm controller to operate said further arm actuator with a fast dynamic response to dynamically position and optionally orientate said second target to said TCP offset from said programmed position and optionally orientation. The TCP offset may be defined by position and optionally orientation data. The difference between the slow dynamic response and the fast dynamic response is inversely proportional to the potential inertia of the arm and the further arm. Where the further arm is much smaller than the arm, the further arm will possess less potential inertia and may be moved with a relatively fast dynamic response.

In one example, said second target is located with said TCP offset from said further end effector so as to move with movement and pose of said further end effector. In this case the TCP offset is defined by position and orientation data, and said tracker system measures the position and orientation of said second target.

By “close to” said programmed location, the further arm base is moved sufficiently close that the further end effector is within range of its programmed task, i.e. the further arm can move the further end effector to a position in order that the task the further end effector is to perform can be completed. By dynamically position and dynamically position and orientate, it is to be understood that as the position of the further arm base varies due to deflection, its position (and orientation if applicable, see hereinafter) is constantly under review and adjusted by the arm actuator with slow dynamic response, and the position and orientation of the further end effector is also constantly under review and adjusted by the further arm actuator with fast dynamic response.

In one example, said further arm base is mounted proximal to a remote end of said arm, away from said arm base.

In one example, said further arm base and said first target is mounted on a head, mounted to the remote end of the arm.

In one example, said head is pivotally mounted to the remote end of the arm.

In one example, said head is pivotally mounted about a horizontal axis to the remote end of the arm.

In one example, said tracker system tracks the position and orientation of said first target, and feeds data to said arm controller to operate said arm actuator with a slow dynamic response to position and orientate said first target close to said offset to position said further arm base close to said programmed location.

Where the head is pivotally mounted to the remote end of the arm, the poise of the head may be controlled by a separate controller to the arm controller, in which case the arm controller need only operate the arm actuator to position the first target along three orthogonal axes. However, control of the poise of the head may be integrated into the arm controller, in which case the position and orientation of the first target can be tracked.

Where the head is pivotally mounted to the remote end of the arm about a multi axis mechanism, the position and orientation of the first target can be tracked with six degrees of freedom. The position and orientation of the second target can be tracked with six degrees of freedom.

In one example, said tracker system includes separate target tracking devices for said first target and said second target.

In one example, said further arm controller may be controllably switched between a first state wherein said further arm controller is responsive to positioning feedback data derived from said tracker system, to a second state where pre-calibrated positioning data referenced to the further arm base (and hence the remote end of the arm) is relied on, and when switched between said first state and said second state, said further arm controller controls movement of said further arm to dampen movement of the further arm, to avoid sudden movement of said further arm and said further end effector. Such sudden movement could feed back to the arm, causing the arm to undergo reactive movement.

In one example, said arm base is provided with movement apparatus to move said arm base relative to the ground. The movement apparatus may be selected from a wheeled conveyance, incorporating locomotion or not, or self-powered endless tracks. The movement apparatus may incorporate self-levelling to level the arm base.

In one example, said arm base is mounted on an active suspension system, and said arm base incorporates a third target for said tracker system, said active suspension system having a suspension controller interfaced with a suspension actuator to control the position and orientation of said arm base in response to data from said tracker system reading the position and orientation of said third target.

Alternatively, said arm base is mounted to an object having larger inertia than said arm on an active suspension system, and said arm base incorporates a third target for said tracker system; said active suspension system having a suspension controller interfaced with a suspension actuator to control the position and orientation of said arm base relative to said object in response to data from said tracker system reading the position and orientation of said third target, said suspension actuator to control the position of said arm base with a slower dynamic response than said arm controller operates said arm actuator.

In another example, there is provided a control system for a boom supported from a boom base, said boom having a robot arm mounted by a robot base therefrom, said robot arm having an end effector, said boom being moveable relative to said boom base by a boom controller interfaced with a boom actuator to position said robot base to a programmed location, said robot arm being movable by a robot arm controller interfaced with a robot arm actuator to position said end effector at a programmed position and orientation; said control system having a tracker system to track the position of a first target located by an offset proximal to said robot base, and to track the position and orientation of a second target located with a TCP offset from said end effector TCP; wherein said tracker system tracks the position of said first target and feeds data to said boom controller to operate said boom actuator with a slow dynamic response to dynamically position said first target close to said offset to position said robot base close to said programmed location, and said tracker system tracks the position and orientation of said second target and feeds data to said robot arm controller to operate said robot arm actuator with a fast dynamic response to dynamically position and orientate said second target to said TCP offset from said programmed position and orientation. The TCP offset may be defined by position and orientation data.

In one example, said second target is located with said TCP offset from said end effector TCP so as to move with movement and pose of said end effector.

By “close to” said programmed location, the robot base is moved sufficiently close that the end effector is within range of its programmed task, i.e. the robot arm can move the end effector to a position in order that the task the end effector is to perform can be completed. By dynamically position and dynamically position and orientate, it is to be understood that as the position of the robot base varies due to deflection, its position (and orientation if applicable, see hereinafter) is constantly under review and adjusted by the boom actuator with slow dynamic response, and the position and orientation of the end effector is also constantly under review and adjusted by the robot arm actuator with fast dynamic response.

In one example, said robot base is mounted proximal to a remote end of said boom, away from said boom base.

In one example, said robot base and said first target is mounted on a head, mounted to the remote end of the boom.

In one example, said head is pivotally mounted to the remote end of the boom.

In one example, said head is pivotally mounted about a horizontal axis to the remote end of the boom.

In one example, said tracker system tracks the position and orientation of said first target, and feeds data to said boom controller to operate said boom actuator with a slow dynamic response to position and orientate said first target close to said offset to position said robot base close to said programmed location.

Where the head is pivotally mounted to the remote end of the boom, the poise of the head may be controlled by a separate controller to the boom controller, in which case the boom controller need only operate the boom actuator to position the first target along three orthogonal axes. However, control of the poise of the head may be integrated into the boom controller, in which case the position and orientation of the first target can be tracked.

Where the head is pivotally mounted to the remote end of the boom about a multi axis mechanism, the position and orientation of the first target can be tracked with six degrees of freedom. The position and orientation of the second target can be tracked with six degrees of freedom.

In one example, said tracker system includes separate target tracking devices for said first target and said second target.

In one example, said robot arm controller may be controllably switched between a first state wherein said robot arm controller is responsive to positioning feedback data derived from said tracker system, to a second state where pre-calibrated positioning data referenced to the robot base (and hence the remote end of the boom) is relied on, and when switched between said first state and said second state, said robot arm controller controls movement of said robot arm to dampen movement of the robot arm, to avoid sudden movement of said robot arm and said end effector. Such sudden movement could feed back to the boom, causing the boom to undergo reactive movement.

In one example, said boom base is provided with movement apparatus to move said boom base relative to the ground. The movement apparatus may be a vehicle selected from a wheeled conveyance, incorporating locomotion or not, or self-powered endless tracks. The movement apparatus may incorporate self-levelling to level the boom base. Such self-levelling should move the boom base to stabilise the boom base and hence the boom, against changes of position and orientation of the boom base, brought about by undulations in the ground over which the vehicle traverses.

In one example, said boom base is mounted on an active suspension system, and said boom base incorporates a third target for said tracker system, said active suspension system having a suspension controller interfaced with a suspension actuator to control the position and orientation of said boom base in response to data from said tracker system reading the position and orientation of said third target.

Alternatively, said boom base is mounted to an object having larger inertia than said boom on an active suspension system, and said boom base incorporates a third target for said tracker system; said active suspension system having a suspension controller interfaced with a suspension actuator to control the position and orientation of said boom base relative to said object in response to data from said tracker system reading the position and orientation of said third target, said suspension actuator to control the position of said boom base with a faster dynamic response than said boom controller operates said boom actuator.

The control system may include multiple tracker components at various positions on the machine so that a tracker (or multiple trackers) has or have line(s) of sight to one or more tracker components supported by the machine.

In one example, the control system of the machine includes algorithms to evaluate line of sight so that the best line of sight, between tracker and tracker component, in a particular pose can be chosen. The criteria for the best line of sight include, most accurate position and orientation solution (which may depend on the pose of the tracker or its sensor), field of view of the tracker or the sensor, distance to the end effector (closer is better), maintaining line of sight at all times during a programmed path or a critical operation.

In one example, said machine includes a further tracker component supported on said robotic arm, or on said end effector, and said machine uses a further tracker system to measure the position of the further tracker component and applies further compensating movement to the robotic arm assembly to correct for variance between programmed further tracker component position and measured further tracker component position.

The boom base may be a vehicle which may include a tracker component at a position on the vehicle or a plurality of tracker components at various positions on the vehicle. The tracker component(s) may be used to determine the position and orientation of the vehicle relative to a workspace coordinate system. The tracker component(s) may be used to determine the position and orientation of a vehicle for a moving vehicle. The tracker system may include multiple ground references to track the tracker targets as the vehicle progresses along a path.

The arrangements described above can achieve a high degree of dynamic motion quality and position tolerance over a large size of workspace. This results in smoother motion for end effectors located at the end of long booms or towers or supported on long cable trusses. The arrangements of the invention can smooth motion for an end effector supported by a long boom or tower supported by a moving vehicle.

Further details of the applicants technology are described in patent publications and co-pending applications U.S. Pat. No. 8,166,727, PCT/AU2008/001274, PCT/AU2008/001275, PCT/AU2017/050731, PCT/AU2017/050730, PCT/AU2017/050728, PCT/AU2017/050739, PCT/AU2017/050738, PCT/AU2018/050698, AU2017902625, AU2017903310, AU2017903312, AU2017904002 and AU2017904110, the contents of which are incorporated herein by cross reference.

Throughout this specification and claims which follow, unless the context requires otherwise, the word “comprise”, and variations such as “comprises” or “comprising”, will be understood to imply the inclusion of a stated integer or group of integers or steps but not the exclusion of any other integer or group of integers. As used herein and unless otherwise stated, the term “approximately” means±20%.

Persons skilled in the art will appreciate that numerous variations and modifications will become apparent. All such variations and modifications which become apparent to persons skilled in the art, should be considered to fall within the spirit and scope that the invention broadly appearing before described.

Claims

1. A system for performing interactions within a physical environment, the system including: a) a robot base that undergoes movement relative to the environment, the robot base being mounted on a boom extending from a vehicle and moved with respect to the environment by the boom;b) a robot arm mounted to the robot base, the robot arm including an end effector mounted thereon;c) a tracking system that measures a robot base position indicative of a position of the robot base relative to the environment during the movement of the robot base; and,d) a control system that: i) acquires an indication of an end effector destination;ii) determines a robot base position using signals from the tracking system;iii) calculates an initial end effector path extending to the end effector destination at least in part using the determined robot base position;iv) generates robot control signals based on the initial end effector path;v) applies the robot control signals to the robot arm to cause the end effector to be moved along the initial end effector path towards the end effector destination; and,vi) in response to movement of the boom leading to relative movement between the robot base and the environment during movement of the end effector, calculates an updated end effector path extending to the end effector destination and moves the end effector towards the end effector destination along the updated end effector path during the movement of the robot base to thereby account for the movement of the boom and the relative movement between the robot base and the environment.
2. A system according to claim 1, wherein the end effector destination is defined relative to an environment coordinate system and wherein the control system: a) calculates a transformed end effector destination by transforming the end effector destination from the environment coordinate system to the robot base coordinate system at least in part using the robot base position; and,b) calculates the initial end effector path or the updated end effector path, which extending to the transformed end effector destination, in the robot base coordinate system.
3. A system according to claim 1, wherein the end effector destination includes an end effector pose, the tracking system measures a robot base pose and wherein the control system: a) determines a current robot base pose using signals from the tracking system; andb) calculates the initial end effector path or the updated end effector path based on the current robot base pose.
4. A system according to claim 1, wherein the control system: a) determines an end effector pose relative to the robot base coordinate system;b) determines a current robot base pose using signals from the tracking system; and,c) calculates the initial end effector path or the updated end effector path using the current robot base pose.
5. A system according to claim 1, wherein the control system: a) determines an end effector position; and,b) calculates the initial end effector path or the updated end effector path using the end effector position.
6. A system according to claim 5, wherein the control system determines the end effector position in a robot base coordinate system using robot arm kinematics.
7. A system according to claim 1, wherein the robot base moves with a slower dynamic response and the end effector moves with a faster dynamic response to correct for movement of the robot base away from an expected robot base position; and wherein the faster dynamic response is faster than a natural frequency of a boom the robot arm is mounted on, and the slower dynamic response is slower than the natural frequency of the boom.
8. A system according to claim 1, wherein the robot base is a movable robot base, and the system includes a robot base actuator that moves the robot base relative to the environment.
9. A system according to claim 1, wherein the control system: a) determines a virtual robot base position offset from the robot base and defined at least partially in accordance with an end effector position; and,b) uses the virtual robot base position to at least one of: i) calculate a robot base path; and,ii) generate robot base actuator control signals.
10. A system according to claim 1, wherein the control system: a) acquires an indication of a plurality of end effector destinations;b) determines a robot base position at least in part using signals from the tracking system;c) calculates a robot base path extending from the robot base position in accordance with the end effector destinations, the robot base path being configured to allow continuous movement of the robot base along the robot base path in accordance with a defined robot base path velocity profile;d) generates robot base control signals based on the robot base path; and,e) applies the robot base control signals to the robot base actuator to cause the robot base to be moved along the robot base path in accordance with the robot base path velocity profile.
11. A system according to claim 10, wherein the control system: a) monitors end effector interaction; and,b) selectively modifies the robot base control signals to cause the robot base to move at a robot base velocity below the robot base path velocity profile, depending on results of the monitoring.
12. A system according to claim 10, wherein the robot base path includes an interaction window associated with each end effector destination, and wherein as the robot base enters an interaction window, the control system: a) controls the robot arm to commence at least one of: i) interaction; and,ii) movement of the end effector along the initial end effector path or the updated end effector path to the end effector destination;b) monitors interaction by determining if the interaction will be completed by the time the robot base approaches an exit to an interaction window; and,c) progressively reduces the robot base velocity to ensure the interaction is completed by the time the robot base reaches an exit to the interaction window.
13. A system according to claim 1, wherein the system includes: a) a first tracking system that measures a robot base position indicative of a position of the robot base relative to the environment; and,b) a second tracking system that measures movement of the robot base, and wherein the control system: i) determines the robot base position at least in part using signals from the first tracking system; and,ii) in the event of failure of the first tracking system: (1) determines a robot base position using signals from the second tracking system; and,(2) controls the robot arm to move the end effector along the initial end effector path or the updated end effector path at a reduced end effector speed.
14. A system according to claim 1, wherein the control system generates the robot control signals taking into account at least one of: a) an end effector velocity profile;b) robot dynamics; and,c) robot kinematics.
15. A system according to claim 1, wherein the control system includes a computer numerical control system.
16. A system according to claim 1, wherein the control system at least one of: a) repeats steps for processing cycles of the control system;b) repeats steps for consecutive processing cycles of the control system; and,c) repeats steps based on a refresh rate of the tracking system.
17. A system according to claim 1, wherein the robot base includes a head mounted to the boom.
18. A system according to claim 1, wherein the system is used for at least one of: a) positioning objects or material in the environment;b) retrieving objects or material from the environment; and,c) modifying objects or material in the environment.
19. A method for performing interactions within a physical environment using a system including: a) a robot base that undergoes movement relative to the environment, the robot base being mounted to a boom extending from a vehicle and moved with respect to the environment by the boom;b) a robot arm mounted to the robot base, the robot arm including an end effector mounted thereon; and,c) a tracking system that measures a robot base position indicative of a position of the robot base relative to the environment during the movement of the robot base, and wherein the method includes, in a control system: i) acquiring an indication of an end effector destination;ii) determining a robot base position using signals from the tracking system;iii) calculating an initial end effector path extending to the end effector destination at least in part using the determined robot base position;iv) generating robot control signals based on the end effector path;v) applying the robot control signals to the robot arm to cause the end effector to be moved along the initial end effector path towards the end effector destination; and,vi) in response to movement of the boom leading to relative movement between the robot base and the environment during movement of the end effector, calculating an updated end effector path extending to the end effector destination and moving the end effector towards the end effector destination along the updated end effector path during the movement of the robot base to thereby account for the movement of the boom and the relative movement between the robot base and the environment during.
20. A computer program product including computer executable code, which when executed by a suitably programmed control system causes the control system to control a system for performing interactions within a physical environment, the system including: a) a robot base that undergoes movement relative to the environment, the robot base being mounted on a boom extending from a vehicle and moved with respect to the environment by the boom;b) a robot arm mounted to the robot base, the robot arm including an end effector mounted thereon;c) a tracking system that measures a robot base position indicative of a position of the robot base relative to the environment during the movement of the robot base; and,d) a control system that: i) acquires an indication of an end effector destination;ii) determines a robot base position using signals from the tracking system;iii) calculates an initial end effector path extending to the end effector destination at least in part using the determined robot base position;iv) generates robot control signals based on the end effector path;v) applies the robot control signals to the robot arm to cause the end effector to be moved along the initial end effector path towards the end effector destination; and,vi) in response to movement of the boom leading to relative movement between the robot base and the environment during movement of the end effector, calculates an updated end effector path extending to the end effector destination and moves the end effector towards the end effector destination along the updated end effector path during the movement of the robot base to thereby account for movement of the boom and the relative movement between the robot base and the environment.
21. A system according to claim 1, wherein the end effector is configured to, for each end effector destination, move an object toward the end effector destination and release the object when the end effector is positioned at the end effector destination.

Priority Claims (1)

Number	Date	Country	Kind
PCT/AU2017/050739	Jul 2017	WO	international

PCT Information

Filing Document	Filing Date	Country	Kind
PCT/AU2018/050734	7/16/2018	WO

Publishing Document	Publishing Date	Country	Kind
WO2019/014702	1/24/2019	WO	A

US Referenced Citations (465)

Number	Name	Date	Kind
1633192	Reagan	Jun 1927	A
1829435	Barnhart	Oct 1931	A
3438171	Demarest	Apr 1969	A
3757484	Williamson et al.	Sep 1973	A
3790428	Lingl	Feb 1974	A
RE28305	Williamson et al.	Jan 1975	E
3930929	Lingl	Jan 1976	A
3950914	Lowen	Apr 1976	A
4033463	Cervin	Jul 1977	A
4106259	Taylor-smith	Aug 1978	A
4221258	Richard	Sep 1980	A
4245451	Taylor-smith	Jan 1981	A
4303363	Cervin	Dec 1981	A
4523100	Payne	Jun 1985	A
4708562	Melan et al.	Nov 1987	A
4714339	Lau	Dec 1987	A
4758036	Legille et al.	Jul 1988	A
4765789	Lonardi et al.	Aug 1988	A
4790651	Brown et al.	Dec 1988	A
4827689	Lonardi et al.	May 1989	A
4852237	Tradt et al.	Aug 1989	A
4911595	Kirchen et al.	Mar 1990	A
4945493	Huang et al.	Jul 1990	A
4952772	Zana	Aug 1990	A
4954762	Miyake et al.	Sep 1990	A
4969789	Searle	Nov 1990	A
5004844	Van Leeuwen et al.	Apr 1991	A
5013986	Gauggel	May 1991	A
5018923	Melan et al.	May 1991	A
5049797	Phillips	Sep 1991	A
5080415	Bjornson	Jan 1992	A
5196900	Pettersen	Mar 1993	A
5284000	Milne et al.	Feb 1994	A
5321353	Furness	Jun 1994	A
5403140	Carmichael et al.	Apr 1995	A
5413454	Movsesian	May 1995	A
5419669	Kremer et al.	May 1995	A
5420489	Hansen et al.	May 1995	A
5469531	Faure et al.	Nov 1995	A
5497061	Nonaka et al.	Mar 1996	A
5523663	Tsuge et al.	Jun 1996	A
5527145	Duncan	Jun 1996	A
5557397	Hyde et al.	Sep 1996	A
5737500	Seraji et al.	Apr 1998	A
5838882	Gan et al.	Nov 1998	A
6018923	Wendt	Feb 2000	A
6049377	Lau et al.	Apr 2000	A
6101455	Davis	Aug 2000	A
6134507	Markey, Jr. et al.	Oct 2000	A
6166809	Pettersen et al.	Dec 2000	A
6166811	Long et al.	Dec 2000	A
6172754	Niebuhr	Jan 2001	B1
6213309	Dadisho	Apr 2001	B1
6285959	Greer	Sep 2001	B1
6310644	Keightley	Oct 2001	B1
6330503	Sharp et al.	Dec 2001	B1
6370837	Mcmahon et al.	Apr 2002	B1
6427122	Lin	Jul 2002	B1
6429016	Mcneil	Aug 2002	B1
6512993	Kacyra et al.	Jan 2003	B2
6516272	Lin	Feb 2003	B2
6584378	Anfindsen	Jun 2003	B1
6611141	Schulz	Aug 2003	B1
6618496	Tassakos et al.	Sep 2003	B1
6628322	Cerruti	Sep 2003	B1
6643002	Drake, Jr.	Nov 2003	B2
6664529	Pack et al.	Dec 2003	B2
6681145	Greenwood et al.	Jan 2004	B1
6683694	Cornil	Jan 2004	B2
6704619	Coleman et al.	Mar 2004	B1
6741364	Lange et al.	May 2004	B2
6825937	Gebauer et al.	Nov 2004	B1
6850946	Rappaport et al.	Feb 2005	B1
6859729	Breakfield et al.	Feb 2005	B2
6864966	Giger	Mar 2005	B2
6868847	Ainedter et al.	Mar 2005	B2
6873880	Hooke et al.	Mar 2005	B2
6917893	Dietsch et al.	Jul 2005	B2
6935036	Barber et al.	Aug 2005	B2
6957496	Raab et al.	Oct 2005	B2
6965843	Hobden et al.	Nov 2005	B2
6970802	Ban et al.	Nov 2005	B2
6996912	Raab et al.	Feb 2006	B2
7044314	Nayfeh	May 2006	B2
7050930	Hobden et al.	May 2006	B2
7051450	Barber et al.	May 2006	B2
7069664	Barber et al.	Jul 2006	B2
7107144	Capozzi et al.	Sep 2006	B2
7111437	Ainedter	Sep 2006	B2
7130034	Barvosa-carter et al.	Oct 2006	B2
7142981	Hablani	Nov 2006	B2
7145647	Suphellen et al.	Dec 2006	B2
7153454	Khoshnevis	Dec 2006	B2
7174651	Barber et al.	Feb 2007	B2
7230689	Lau	Jun 2007	B2
7246030	Raab et al.	Jul 2007	B2
7269910	Raab et al.	Sep 2007	B2
7305094	Kashani	Dec 2007	B2
7347311	Rudge	Mar 2008	B2
7519493	Atwell et al.	Apr 2009	B2
7551121	Oconnell et al.	Jun 2009	B1
7564538	Sakimura et al.	Jul 2009	B2
7570371	Storm	Aug 2009	B1
7576836	Bridges	Aug 2009	B2
7576847	Bridges	Aug 2009	B2
7591078	Crampton	Sep 2009	B2
7639347	Eaton	Dec 2009	B2
7693325	Pulla et al.	Apr 2010	B2
7701587	Shioda et al.	Apr 2010	B2
7774159	Cheng et al.	Aug 2010	B2
7800758	Bridges et al.	Sep 2010	B1
7804602	Raab	Sep 2010	B2
RE42055	Raab et al.	Jan 2011	E
RE42082	Raab et al.	Feb 2011	E
7881896	Atwell et al.	Feb 2011	B2
7967549	Geist et al.	Jun 2011	B2
7993289	Quistgaard et al.	Aug 2011	B2
8036452	Pettersson et al.	Oct 2011	B2
8054451	Karazi et al.	Nov 2011	B2
8060344	Stathis	Nov 2011	B2
8145446	Atwell et al.	Mar 2012	B2
8166727	Pivac et al.	May 2012	B2
8169604	Braghiroli et al.	May 2012	B2
8185240	Williams et al.	May 2012	B2
8195368	Leban	Jun 2012	B1
8229208	Pulla et al.	Jul 2012	B2
8233153	Knuettel	Jul 2012	B2
8244030	Pettersson et al.	Aug 2012	B2
8248620	Wicks et al.	Aug 2012	B2
8269984	Hinderling et al.	Sep 2012	B2
8287522	Moses	Oct 2012	B2
8322468	Nagasaka	Dec 2012	B2
8327555	Champ	Dec 2012	B2
8337407	Quistgaard et al.	Dec 2012	B2
8345926	Clark et al.	Jan 2013	B2
8346392	Walser et al.	Jan 2013	B2
8352129	Yuan	Jan 2013	B2
8401698	Kamrani	Mar 2013	B2
8405716	Yu et al.	Mar 2013	B2
8467072	Cramer et al.	Jun 2013	B2
8467888	Gahinet	Jun 2013	B2
8537372	Siercks et al.	Sep 2013	B2
8537376	Day et al.	Sep 2013	B2
8558992	Steffey	Oct 2013	B2
8588974	Aoba	Nov 2013	B2
8593648	Cramer et al.	Nov 2013	B2
8595948	Raab et al.	Dec 2013	B2
8606399	Williams et al.	Dec 2013	B2
8634950	Simonetti et al.	Jan 2014	B2
8644964	Hendron et al.	Feb 2014	B2
8670114	Bridges et al.	Mar 2014	B2
8677643	Bridges et al.	Mar 2014	B2
8792709	Pulla et al.	Jul 2014	B2
8803055	Lau et al.	Aug 2014	B2
8812155	Brethe	Aug 2014	B2
8825208	Benson	Sep 2014	B1
8832954	Atwell et al.	Sep 2014	B2
8848203	Bridges et al.	Sep 2014	B2
8875409	Kretschmer et al.	Nov 2014	B2
8898919	Bridges et al.	Dec 2014	B2
8902408	Bridges	Dec 2014	B2
8913814	Gandyra	Dec 2014	B2
8931182	Raab et al.	Jan 2015	B2
8942940	York	Jan 2015	B2
8965571	Peters et al.	Feb 2015	B2
8996244	Summer et al.	Mar 2015	B2
8997362	Briggs et al.	Apr 2015	B2
9020240	Pettersson et al.	Apr 2015	B2
9033998	Schaible et al.	May 2015	B1
RE45565	Bridges et al.	Jun 2015	E
9046360	Atwell et al.	Jun 2015	B2
9074381	Drew	Jul 2015	B1
9109877	Thierman	Aug 2015	B2
9146315	Bosse et al.	Sep 2015	B2
9151830	Bridges	Oct 2015	B2
9163922	Bridges et al.	Oct 2015	B2
9170096	Fowler et al.	Oct 2015	B2
9188430	Atwell et al.	Nov 2015	B2
9207309	Bridges	Dec 2015	B2
9223025	Debrunner et al.	Dec 2015	B2
9229108	Debrunner et al.	Jan 2016	B2
9266238	Huettenhofer	Feb 2016	B2
9267784	Atwell et al.	Feb 2016	B2
9278448	Freeman	Mar 2016	B2
9279661	Tateno et al.	Mar 2016	B2
9303988	Tani	Apr 2016	B2
9353519	Williams	May 2016	B2
9354051	Dunne et al.	May 2016	B2
9358688	Drew	Jun 2016	B2
9367741	Le Marec	Jun 2016	B2
9377301	Neier et al.	Jun 2016	B2
9383200	Hulm et al.	Jul 2016	B2
9395174	Bridges	Jul 2016	B2
9405293	Meuleau	Aug 2016	B2
9423282	Moy	Aug 2016	B2
9437005	Tateno et al.	Sep 2016	B2
9443308	Pettersson et al.	Sep 2016	B2
9452533	Calkins et al.	Sep 2016	B2
9454818	Cramer	Sep 2016	B2
9476695	Becker et al.	Oct 2016	B2
9482524	Metzler et al.	Nov 2016	B2
9482525	Bridges	Nov 2016	B2
9482746	Bridges	Nov 2016	B2
9494686	Maryfield et al.	Nov 2016	B2
9513100	Raab et al.	Dec 2016	B2
9536163	Veeser et al.	Jan 2017	B2
9541371	Pettersson et al.	Jan 2017	B2
9561019	Mihailescu et al.	Feb 2017	B2
9593046	Bastelberger	Mar 2017	B2
9607239	Bridges et al.	Mar 2017	B2
9618620	Zweigle et al.	Apr 2017	B2
9658061	Wilson et al.	May 2017	B2
9671221	Ruhland et al.	Jun 2017	B2
9679385	Suzuki et al.	Jun 2017	B2
9686532	Tohme	Jun 2017	B2
9708079	Desjardien et al.	Jul 2017	B2
9715730	Suzuki	Jul 2017	B2
9720087	Christen et al.	Aug 2017	B2
9734609	Pulla et al.	Aug 2017	B2
9739595	Lau	Aug 2017	B2
9746308	Gong	Aug 2017	B2
9757859	Kolb	Sep 2017	B1
9768837	Charvat et al.	Sep 2017	B2
9772173	Atwell et al.	Sep 2017	B2
9803969	Gong	Oct 2017	B2
9816813	Lettau et al.	Nov 2017	B2
9829305	Gong	Nov 2017	B2
9835717	Bosse et al.	Dec 2017	B2
9844792	Pettersson et al.	Dec 2017	B2
9879976	Bridges et al.	Jan 2018	B2
9897442	Pettersson et al.	Feb 2018	B2
9903939	Charvat et al.	Feb 2018	B2
9909855	Becker et al.	Mar 2018	B2
9915733	Fried et al.	Mar 2018	B2
9921046	Gong	Mar 2018	B2
9958268	Ohtomo et al.	May 2018	B2
9958545	Eichenholz et al.	May 2018	B2
9964398	Becker et al.	May 2018	B2
9964402	Tohme et al.	May 2018	B2
9967545	Tohme	May 2018	B2
9987746	Bradski	Jun 2018	B2
9989353	Bartmann et al.	Jun 2018	B2
10012732	Eichenholz et al.	Jul 2018	B2
10030972	Iseli et al.	Jul 2018	B2
10041793	Metzler et al.	Aug 2018	B2
10054422	Böckem et al.	Aug 2018	B2
10058394	Johnson et al.	Aug 2018	B2
10059003	Linnell et al.	Aug 2018	B1
10073162	Charvat et al.	Sep 2018	B2
10074889	Charvat et al.	Sep 2018	B2
10082521	Atlas et al.	Sep 2018	B2
10089586	Vestal	Oct 2018	B2
10090944	Charvat et al.	Oct 2018	B1
10094909	Charvat et al.	Oct 2018	B2
10126415	Becker et al.	Nov 2018	B2
10150653	Kyllingstad	Dec 2018	B2
10189176	Williams	Jan 2019	B2
10220511	Linnell et al.	Mar 2019	B2
10240949	Peters et al.	Mar 2019	B2
10437252	Liu et al.	Oct 2019	B1
10627211	Luthi	Apr 2020	B2
10744645	Wang et al.	Aug 2020	B2
10876308	Pivac et al.	Dec 2020	B2
11106836	Pivac et al.	Aug 2021	B2
11187793	Liu	Nov 2021	B1
11299894	Pivac	Apr 2022	B2
11364630	Henriksson	Jun 2022	B2
11401115	Pivac	Aug 2022	B2
11441899	Pivac et al.	Sep 2022	B2
20010055525	Inokuchi	Dec 2001	A1
20020126852	Kashani	Sep 2002	A1
20020175594	Kornbluh et al.	Nov 2002	A1
20020176603	Bauer et al.	Nov 2002	A1
20030048459	Gooch	Mar 2003	A1
20030090682	Gooch et al.	May 2003	A1
20030120377	Hooke et al.	Jun 2003	A1
20030206285	Lau	Nov 2003	A1
20030208302	Lemelson	Nov 2003	A1
20040073343	Nayfeh	Apr 2004	A1
20040078137	Breakfield et al.	Apr 2004	A1
20040093119	Gunnarsson et al.	May 2004	A1
20040200947	Lau	Oct 2004	A1
20050007450	Hill et al.	Jan 2005	A1
20050057745	Bontje	Mar 2005	A1
20050060092	Hablani	Mar 2005	A1
20050086901	Chisholm	Apr 2005	A1
20050131619	Rappaport et al.	Jun 2005	A1
20050196484	Khoshnevis	Sep 2005	A1
20050252118	Matsufuji	Nov 2005	A1
20060167587	Read	Jul 2006	A1
20060215179	Mcmurtry et al.	Sep 2006	A1
20070024870	Girard et al.	Feb 2007	A1
20070106421	Kamrani	May 2007	A1
20070229802	Lau	Oct 2007	A1
20070284215	Rudge	Dec 2007	A1
20080030855	Lau	Feb 2008	A1
20080189046	Eliasson et al.	Aug 2008	A1
20080235970	Crampton	Oct 2008	A1
20090038258	Pivac et al.	Feb 2009	A1
20090074979	Krogedal et al.	Mar 2009	A1
20090240372	Bordyn et al.	Sep 2009	A1
20100025349	Khoshnevis	Feb 2010	A1
20100095835	Yuan	Apr 2010	A1
20100103431	Demopoulos	Apr 2010	A1
20100138185	Kang	Jun 2010	A1
20100143089	Hvass	Jun 2010	A1
20100152899	Chang et al.	Jun 2010	A1
20100206651	Nagasaka	Aug 2010	A1
20100274390	Walser et al.	Oct 2010	A1
20100281822	Murray	Nov 2010	A1
20100312364	Eryilmaz	Dec 2010	A1
20110043515	Stathis	Feb 2011	A1
20110066393	Groll et al.	Mar 2011	A1
20110153524	Schnackel	Jun 2011	A1
20110208347	Otake et al.	Aug 2011	A1
20120038074	Khoshnevis	Feb 2012	A1
20120053726	Peters et al.	Mar 2012	A1
20120099096	Bridges et al.	Apr 2012	A1
20120136524	Everett et al.	May 2012	A1
20120185089	Schreiber	Jul 2012	A1
20120265391	Letsky	Oct 2012	A1
20120277898	Kawai et al.	Nov 2012	A1
20130028478	St-pierre et al.	Jan 2013	A1
20130068061	Yoon	Mar 2013	A1
20130103192	Huettenhofer	Apr 2013	A1
20130104407	Lee	May 2013	A1
20130222816	Briggs et al.	Aug 2013	A1
20130250285	Bridges et al.	Sep 2013	A1
20130286196	Atwell	Oct 2013	A1
20130297046	Hendron et al.	Nov 2013	A1
20130310982	Scheurer	Nov 2013	A1
20140002608	Atwell et al.	Jan 2014	A1
20140067121	Brooks et al.	Mar 2014	A1
20140176677	Valkenburg et al.	Jun 2014	A1
20140192187	Atwell et al.	Jul 2014	A1
20140309960	Vennegeerts et al.	Oct 2014	A1
20140343727	Calkins et al.	Nov 2014	A1
20140348388	Metzler et al.	Nov 2014	A1
20140365258	Vestal	Dec 2014	A1
20140366481	Benson	Dec 2014	A1
20140376768	Troy	Dec 2014	A1
20150082740	Peters et al.	Mar 2015	A1
20150100066	Kostrzewski et al.	Apr 2015	A1
20150134303	Chang et al.	May 2015	A1
20150153720	Pettersson et al.	Jun 2015	A1
20150158181	Kawamura	Jun 2015	A1
20150165620	Osaka	Jun 2015	A1
20150166413	Bastelberger	Jun 2015	A1
20150241203	Jordil et al.	Aug 2015	A1
20150258694	Hand et al.	Sep 2015	A1
20150276402	Grsser et al.	Oct 2015	A1
20150280829	Breuer	Oct 2015	A1
20150293596	Krausen et al.	Oct 2015	A1
20150309175	Hinderling et al.	Oct 2015	A1
20150314890	Desjardien et al.	Nov 2015	A1
20150345959	Meuleau	Dec 2015	A1
20150352721	Wicks et al.	Dec 2015	A1
20150355310	Gong et al.	Dec 2015	A1
20150367509	Georgeson	Dec 2015	A1
20150371082	Csaszar et al.	Dec 2015	A1
20150377606	Thielemans	Dec 2015	A1
20160005185	Geissler	Jan 2016	A1
20160093099	Bridges	Mar 2016	A1
20160153786	Liu et al.	Jun 2016	A1
20160187130	Metzler et al.	Jun 2016	A1
20160187470	Becker et al.	Jun 2016	A1
20160194183	Kyllingstad	Jul 2016	A1
20160221187	Bradski	Aug 2016	A1
20160223364	Peters et al.	Aug 2016	A1
20160239013	Troy	Aug 2016	A1
20160242744	Mihailescu et al.	Aug 2016	A1
20160263767	Williams	Sep 2016	A1
20160274237	Stutz	Sep 2016	A1
20160282107	Roland et al.	Sep 2016	A1
20160282110	Vagman et al.	Sep 2016	A1
20160282179	Nazemi et al.	Sep 2016	A1
20160288331	Sivich et al.	Oct 2016	A1
20160292918	Cummings et al.	Oct 2016	A1
20160313114	Tohme et al.	Oct 2016	A1
20160318187	Tan	Nov 2016	A1
20160327383	Becker et al.	Nov 2016	A1
20160340873	Eidenberger et al.	Nov 2016	A1
20160341041	Puura et al.	Nov 2016	A1
20160349746	Grau	Dec 2016	A1
20160363436	Clark et al.	Dec 2016	A1
20160363659	Mindell et al.	Dec 2016	A1
20160363663	Mindell et al.	Dec 2016	A1
20160363664	Mindell et al.	Dec 2016	A1
20160364869	Siercks et al.	Dec 2016	A1
20160364874	Tohme et al.	Dec 2016	A1
20170028550	Terada	Feb 2017	A1
20170066157	Peters et al.	Mar 2017	A1
20170067739	Siercks et al.	Mar 2017	A1
20170071680	Swarup	Mar 2017	A1
20170082436	Siercks et al.	Mar 2017	A1
20170091922	Siercks et al.	Mar 2017	A1
20170091923	Siercks et al.	Mar 2017	A1
20170108528	Atlas et al.	Apr 2017	A1
20170122733	Brown	May 2017	A1
20170122736	Dold et al.	May 2017	A1
20170166399	Stubbs	Jun 2017	A1
20170173795	Tan et al.	Jun 2017	A1
20170173796	Kim et al.	Jun 2017	A1
20170176572	Charvat et al.	Jun 2017	A1
20170179570	Charvat	Jun 2017	A1
20170179603	Charvat et al.	Jun 2017	A1
20170191822	Becker et al.	Jul 2017	A1
20170225330	Wagner	Aug 2017	A1
20170227355	Pettersson et al.	Aug 2017	A1
20170236299	Valkenburg et al.	Aug 2017	A1
20170254102	Peters et al.	Sep 2017	A1
20170269203	Trishaun	Sep 2017	A1
20170291805	Hao et al.	Oct 2017	A1
20170307757	Hinderling et al.	Oct 2017	A1
20170314909	Dang	Nov 2017	A1
20170314918	Shah	Nov 2017	A1
20170329321	Dai et al.	Nov 2017	A1
20170333137	Roessler	Nov 2017	A1
20170343336	Lettau	Nov 2017	A1
20170371342	Hashimoto	Dec 2017	A1
20180001479	Li et al.	Jan 2018	A1
20180003493	Bernhard et al.	Jan 2018	A1
20180017384	Siercks et al.	Jan 2018	A1
20180023935	Atwell et al.	Jan 2018	A1
20180038684	Fröhlich et al.	Feb 2018	A1
20180043838	Ellerman et al.	Feb 2018	A1
20180046096	Shibazaki	Feb 2018	A1
20180052233	Frank et al.	Feb 2018	A1
20180093380	Yoshida	Apr 2018	A1
20180108178	Murugappan et al.	Apr 2018	A1
20180121571	Tiwari et al.	May 2018	A1
20180149469	Becker et al.	May 2018	A1
20180156601	Pontai	Jun 2018	A1
20180168749	Dozeman	Jun 2018	A1
20180170719	Tasch et al.	Jun 2018	A1
20180180416	Edelman et al.	Jun 2018	A1
20180180740	Shaffer	Jun 2018	A1
20180202796	Ziegenbein	Jul 2018	A1
20180209156	Pettersson	Jul 2018	A1
20180222047	Nishi	Aug 2018	A1
20180239010	Mindell et al.	Aug 2018	A1
20180283017	Telleria et al.	Oct 2018	A1
20180300433	Maxam et al.	Oct 2018	A1
20190026401	Benjamin et al.	Jan 2019	A1
20190032348	Parkes	Jan 2019	A1
20190099902	Yamamoto et al.	Apr 2019	A1
20190184555	Linnell et al.	Jun 2019	A1
20190224846	Pivac et al.	Jul 2019	A1
20190251210	Pivac et al.	Aug 2019	A1
20190316369	Pivac et al.	Oct 2019	A1
20190352146	Pivac et al.	Nov 2019	A1
20200009723	Eisenwinter	Jan 2020	A1
20200009730	Henriksson	Jan 2020	A1
20200173777	Pivac et al.	Jun 2020	A1
20200206924	Pivac et al.	Jul 2020	A1
20200215688	Pivac et al.	Jul 2020	A1
20200215692	Pivac et al.	Jul 2020	A1
20200215693	Pivac et al.	Jul 2020	A1
20200324981	Pivac et al.	Oct 2020	A1
20210016437	Pivac et al.	Jan 2021	A1
20210016438	Pivac et al.	Jan 2021	A1
20210080582	Pivac et al.	Mar 2021	A1
20210291362	Pivac et al.	Sep 2021	A1
20210370509	Pivac et al.	Dec 2021	A1
20210379775	Pivac et al.	Dec 2021	A1

Foreign Referenced Citations (162)

Number	Date	Country
645640	Jan 1994	AU
673498	Mar 1990	CH
2730976	Oct 2005	CN
2902981	May 2007	CN
2923903	Jul 2007	CN
101100903	Jan 2008	CN
201184054	Jan 2009	CN
101360873	Feb 2009	CN
101476883	Jul 2009	CN
100557169	Nov 2009	CN
101694130	Apr 2010	CN
201972413	Sep 2011	CN
102359282	Feb 2012	CN
202248944	May 2012	CN
202292752	Jul 2012	CN
102995911	Mar 2013	CN
103042527	Apr 2013	CN
202925913	May 2013	CN
103363902	Oct 2013	CN
103698769	Apr 2014	CN
203701626	Jul 2014	CN
104141391	Nov 2014	CN
104153591	Nov 2014	CN
104493810	Apr 2015	CN
204295678	Apr 2015	CN
104612411	May 2015	CN
204311767	May 2015	CN
103774859	Nov 2015	CN
103753586	Dec 2015	CN
105113373	Dec 2015	CN
105178616	Dec 2015	CN
105257008	Jan 2016	CN
105452806	Mar 2016	CN
105544998	May 2016	CN
205290958	Jun 2016	CN
104806028	Nov 2016	CN
205668271	Nov 2016	CN
205840368	Dec 2016	CN
205990775	Mar 2017	CN
106607907	May 2017	CN
206185879	May 2017	CN
206189878	May 2017	CN
105089274	Jun 2017	CN
105064699	Jul 2017	CN
107217859	Sep 2017	CN
107237483	Oct 2017	CN
107357294	Nov 2017	CN
107605167	Jan 2018	CN
206844687	Jan 2018	CN
107654077	Feb 2018	CN
107675891	Feb 2018	CN
107740591	Feb 2018	CN
106088632	Mar 2018	CN
107762165	Mar 2018	CN
207063553	Mar 2018	CN
106088631	May 2018	CN
107975245	May 2018	CN
108061551	May 2018	CN
108222527	Jun 2018	CN
108301628	Jul 2018	CN
108331362	Jul 2018	CN
106150109	Aug 2018	CN
108457479	Aug 2018	CN
108708560	Oct 2018	CN
208023979	Oct 2018	CN
106881711	Apr 2019	CN
107083845	Jun 2019	CN
108016585	Jul 2019	CN
3430915	Mar 1986	DE
4038260	Jun 1991	DE
4207384	Sep 1993	DE
19509809	Oct 1995	DE
4417928	Nov 1995	DE
29601535	May 1997	DE
19600006	Jul 1997	DE
19603234	Sep 1997	DE
19743717	Apr 1999	DE
19849720	May 2000	DE
10230021	Jul 2003	DE
102006030130	Sep 2007	DE
102009018070	Oct 2010	DE
102009042014	Mar 2011	DE
202012100646	Jun 2013	DE
102013019869	May 2015	DE
190076	Aug 1986	EP
370682	May 1990	EP
456020	Jan 1995	EP
493020	Apr 1995	EP
495525	Apr 1995	EP
836664	Jan 1999	EP
674069	Dec 1999	EP
1375083	Jan 2004	EP
1918478	May 2008	EP
2112291	Oct 2009	EP
2219528	Aug 2010	EP
2249997	Nov 2010	EP
2353801	Aug 2011	EP
2631040	Aug 2013	EP
2199719	Oct 2014	EP
3084719	Oct 2016	EP
2296556	Apr 2008	ES
2230825	Dec 1974	FR
2524522	Oct 1983	FR
119331	Oct 1918	GB
2198105	May 1923	GB
673472	Jun 1952	GB
682010	Nov 1952	GB
839253	Jun 1960	GB
1067604	May 1967	GB
1465068	Feb 1977	GB
125079	Dec 2001	GB
2422400	Jul 2006	GB
64006719	Jan 1989	JP
H07101509	Nov 1999	JP
2005283600	Oct 2005	JP
4294990	Apr 2009	JP
2009521630	Jun 2009	JP
5508895	Mar 2014	JP
87054	Jun 1989	LU
87381	Jun 1990	LU
88144	Apr 1994	LU
85392	Aug 2009	RU
9702397	Jan 1997	WO
2001076830	Oct 2001	WO
2004020760	Mar 2004	WO
2004083540	Feb 2005	WO
2005014240	Feb 2005	WO
2005017550	Feb 2005	WO
2005070657	Aug 2005	WO
2004011734	Nov 2005	WO
2006111827	Oct 2006	WO
2007076581	Jul 2007	WO
2008110559	Sep 2008	WO
2008124713	Oct 2008	WO
2009026641	Mar 2009	WO
2009026642	Mar 2009	WO
2010020457	Feb 2010	WO
2010054519	May 2010	WO
2010069160	Jun 2010	WO
2011077006	Jun 2011	WO
2013088154	Jun 2013	WO
2013134559	Sep 2013	WO
2015142784	Sep 2015	WO
2017162630	Sep 2017	WO
2018009978	Jan 2018	WO
2018009980	Jan 2018	WO
2018009981	Jan 2018	WO
2018009985	Jan 2018	WO
2018009986	Jan 2018	WO
2018052469	Apr 2018	WO
201899323	Jun 2018	WO
2019006511	Jan 2019	WO
2019014701	Jan 2019	WO
2019014702	Jan 2019	WO
2019014705	Jan 2019	WO
2019014706	Jan 2019	WO
2019014707	Jan 2019	WO
2019033165	Feb 2019	WO
2019033166	Feb 2019	WO
2019033170	Feb 2019	WO
2019068128	Apr 2019	WO
2019071313	Apr 2019	WO

Non-Patent Literature Citations (145)

Entry
Damping Ratio; Year:n/a.
Critical Damping Ratio; Year: n/a.
Partial Supplementary European Search Report mailed Apr. 14, 2020 in European Patent Application No. 17826696.1, 10 pages.
Zaki, T., “Parametric modeling of Blackwall assemblies for automated generation of shop drawings and detailed estimates using BIM”, Master's Thesis, May 23, 2016, pp. 1-151.
Boston Dynamics: “Introducing Spot (previously SpotMini)”, Jun. 28, 2016, YouTube video, 1 page (screenshot of video); video retrieved at <https://www.youtube.com/watch?v=tf7IEVTDjng>.
Examination Report mailed Apr. 18, 2021 in GCC Patent Application No. 2018-35644, 5 pages.
Examination Report mailed Apr. 30, 2021 in GCC Patent Application No. 2018-35643, 3 pages.
Examination Report mailed Jun. 29, 2021 for India Patent Application No. 201927004006, 6 pages.
Examination Report mailed Sep. 30, 2021 for Australian Patent Application No. 2017295316, 3 pages.
Extended European Search Report mailed Jun. 4, 2021 for European Patent Application No. 18865644.1, 7 pages.
Extended European Search Report mailed Mar. 16, 2021 for European Patent Application No. 18834565.6, 19 pages.
Extended European Search Report mailed Mar. 17, 2021 for European Patent Application No. 18835861.8, 12 pages.
Extended European Search Report mailed Mar. 18, 2021 for European Patent Application No. 18834673.8, 14 pages.
Extended European Search Report mailed Mar. 18, 2021 for European Patent Application No. 18834893.2, 12 pages.
Extended European Search Report mailed Mar. 18, 2021 for European Patent Application No. 18835737.0, 10 pages.
Extended European Search Report mailed Mar. 30, 2021 for European Patent Application No. 18845794.9, 13 pages.
Extended European Search Report mailed Mar. 5, 2021 for European Patent Application No. 18828425.1, 7 pages.
Fastbrick Robotics: Hadrian X Digital Construction System, published on Sep. 21, 2016 <URL: https://www.youtube.com/watch?v=5bW1vuCgEaA >.
Gander H et al: “Application of a floating point digital signal processor to a dynamic robot measurement system”, Instrumentation and Measurement Technology Conference, 1994. IMTC/94. Conference Proceedings. 10th Anniversary. Advanced Technologies in I & M., 1994 IEEE Hamamatsu, Japan May 10-12, 1994, New York, NY, USA, IEEE, May 10, 1994 (May 10, 1994), pp. 372-375, XP010121924, DOI: 10.1109/IMTC.1994.352046, ISBN: 978-0-7803-1880-9, whole document.
Garrido, S. et al., “FM2: A real-time fast marching sensor based motion planner”, Advanced Intelligent Mechatronics, 2007 IEEE/ASME International Conference On, IEEE, PI, Sep. 1, 2007 (Sep. 1, 2007), pp. 1-6.
International Search Report and Written Opinion for International Patent Application No. PCT/AU19/50742; Date of Mailing Sep. 23, 2019; 5 pages.
International Search Report and Written Opinion for International Patent Application No. PCT/AU19/50743; Date of Mailing mailed Oct. 1, 2019; 10 pages.
International Search Report and Written Opinion for International Patent Application No. PCT/AU20/50367; Date of Mailing Jun. 29, 2020; 15 pages.
International Search Report and Written Opinion for International Patent Application No. PCT/AU20/50368; Date of Mailing Jun. 25, 2020; 11 pages.
Kleinigger, M. et al: “Application of 6-DOF sensing for robotic disturbance compensation”, Automation Science and Engineering (CASE), 2010 IEEE Conference On, IEEE, Piscataway, NJ, USA, Aug. 21, 2010 (Aug. 21, 2010, pp. 344-349, XP031762876, ISBN: 978-1-4244-5477-1, abstract, sections 1 to 3.
Mercedes-Benz: “Mercedes-Benz “Chicken” Magic Body Control TV commercial”, YouTube, Sep. 23, 2013, 1 page. Retrieved from the internet: <https://www.youtube.com/watch?v+nLwML2PagbY>.
Office Action mailed Apr. 21, 2021 in Japanese Patent Application No. 2019-523148, 4 pages.
Office Action mailed Aug. 20, 2021 for Japanese Patent Application No. 2019-523147, 3 pages.
Office Action mailed Jul. 5, 2021 for Japanese Patent Application No. 2019-523145, 4 pages.
Office Action mailed May 24, 2021 for Chinese Patent Application No. 201880067520.0, 8 pages.
Office Action mailed Sep. 3, 2021 for Chinese Patent Application No. 201780056460.8, 9 pages.
Siciliano, B. et al., “Robotics—chapters 2-4” Robotics, Dec. 31, 2009 (Dec. 31, 2009), Springer London, London, pp. 39-189.
Delgado, R. et al.: “Development and Control of an Omnidirectional Mobile Robot on an EtherCAT Network”, International Journal of Applied Engineering Research, vol. 11, No. 21, 2016, pp. 10586-10592, XP055574484.
Dorfler, K. et al.: “Mobile Robotic Brickwork , Automation of a Discrete Robotic Fabrication Process Using an Autonomous Mobile Robot Robotic Fabrication in Architecture”, Art and Design 2016, Feb. 4, 2016 (Feb. 4, 2016), pp. 204-217, XP055567451.
Egerstedt, M. et al.: “Control of Mobile Platforms using a Virtual Vehicle Approach”, IEEE Transactions on Automatic Control, vol. 46, No. 11, Nov. 2001 (Nov. 1, 2001), XP055567515.
Fastbrick Robotics, Fastbrick Robotics: Hadrian 105 First Look Revealed, Nov. 16, 2015 (Nov. 16, 2015), XP054978174, Retrieved from the Internet <URL:https://www.youtube.com/watch?v=7Zw7qHxMtrY> [retrieved on Nov. 16, 2015].
Fastbrick Robotics: Hadrian 105 Demonstrative Model Animation, Jun. 29, 2015 (Jun. 29, 2015), XP054979424, Retrieved from the Internet <URL:https://www.youtube.com/watch?v=Rebqcsb61gY> [retrieved on Mar. 7, 2018].
Fastbrick Robotics: Hadrian 105 Time Lapse, Fastbrick Robotics Time Lapse, May 22, 2016 (May 22, 2016), XP054978173, Retrieved from the Internet <URL:https://www.youtube.com/watch?v=4YcrO8ONcfY> [retrieved on May 22, 2016].
Feng, C. et al.: “Vision Guided Autonomous Robotic Assembly and as-built Scanning on Unstructured Construction Sites”, Automation in Construction, vol. 59, Nov. 2015 (Nov. 1, 2015), pp. 128-138, XP055567454.
Gao, X. et al.: “Complete Solution Classification for the Perspective-Three-Point Problem”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, No. 8, Aug. 2003 (Aug. 1, 2003), pp. 930-943, XP011099374.
Giftthaler, M. et al., “Efficient Kinematic Planning for Mobile Manipulators with Non-holonomic Constraints Using Optimal Control”, 2017 IEEE International Conference on Robotics and Automation (ICRA), Singapore, May 29-Jun. 3, 2017.
Heintze, H., “Design and Control of a Hydraulically Actuated Industrial Brick Laying Robot,” 264 pages.
Heintze, J. et al., “Controlled hydraulics for a direct drive brick laying robot,” Automation in Construction 5 (1996), pp. 23-29.
Helm, V. et al.: “Mobile Robotic Fabrication on Construction Sites: dimRob”, IEEE /RSJ International Conference on Intelligent Robots and Systems, Oct. 7, 2012 (Oct. 7, 2012), Vilamoura, Portugal, pp. 4335-4341, XP032287463.
http://www.new-technologies.org/ECT/Other/brickrob.htm. “Emerging Construction Technologies.” Dec. 1, 2006.
Huang, S. et al., “Applying High-Speed Vision Sensing to an Industrial Robot for High-Performance Position Regulation under Uncertainties,” Sensors, 2016, 16, 1195, 15 pages.
International Preliminary Report on Patentability for International Application No. PCT/AU2017/050731; Date of Mailing: Jan. 15, 2019; 5 pages.
International Preliminary Report on Patentability for International Application No. PCT/AU2017/050738; Date of Mailing: Jan. 15, 2019; 13 pages.
International Preliminary Report on Patentability for International Application No. PCT/AU2017/050739; Date of Mailing: Jan. 15, 2019; 6 pages.
International Preliminary Report on Patentability for International Application No. PCT/AU2018/050733; Date of Mailing: Jan. 21, 2020; 6 pages.
International Preliminary Report on Patentability for International Application No. PCT/AU2018/050734; Date of Mailing: Jan. 21, 2020; 9 pages.
International Preliminary Report on Patentability for International Application No. PCT/AU2018/050737; Date of Mailing: Jan. 21, 2020; 6 pages.
International Preliminary Report on Patentability for International Application No. PCT/AU2018/050739; Date of Mailing: Jan. 21, 2020; 6 pages.
International Preliminary Report on Patentability for International Application No. PCT/AU2018/050740; Date of Mailing: Jan. 21, 2020; 6 pages.
International Search Report and Written Opinion for International Application No. PCT/AU2017/050730; Date of Mailing: Aug. 23, 2017; 17 pages.
International Search Report and Written Opinion for International Application No. PCT/AU2017/050731; Date of Mailing: Aug. 31, 2017; 8 pages.
International Search Report and Written Opinion for International Application No. PCT/AU2017/050738; Date of Mailing: Oct. 17, 2017; 19 pages.
International Search Report and Written Opinion for International Application No. PCT/AU2017/050739; Date of Mailing: Sep. 28, 2017; 9 pages.
Kazemi, M. et al.: “Path Planning for Image-based Control of Wheeled Mobile Manipulators”, 2012 IEEE /RSJ International Conference on Intelligent Robots and Systems, Oct. 7, 2012 (Oct. 7, 2012), Vilamoura, Portugal, XP055567470.
Kleinkes, M. et al.: “Laser Tracker and 6DoF measurement strategies in industrial robot applications”, CMSC 2011: Coordinate Metrology System Conference, Jul. 25, 2011 (Jul. 25, 2011), XP055456272.
Koren et al.: “End-effector guidance of robot arms”, CIRP Annals-Manufacturing Technology, vol. 36, No. 1, 1987, pp. 289-292, XP055456270.
Kwon, S. et al., “On the Coarse/Fine Dual-Stage Manipulators with Robust Perturbation Compensator,” IEEE, May 21-26, 2001, pp. 121-126.
Kyle in CMSC: Charlotte-Concord, Jul. 21-25, 2008.
Latteur, et al., “Drone-Based Additive Manufacturing of Architectural Structures,” IASS Symposium 2015, Amsterdam, The Netherlands; Aug. 17-20, 2015; 12 pages.
Lippiello, V. et al.: “Position-Based Visual Servoing in Industrial Multirobot Cells Using a Hybrid Camera Configuration”, IEEE Transactions on Robotics, vol. 23, No. 1, Feb. 2007 (Feb. 1, 2007), XP011163518.
Liu, Z. et al.: “EtherCAT Based Robot Modular Joint Controller”, Proceeding of the 2015 IEEE International Conference on Information and Automation, Aug. 2015 (Aug. 1, 2015), Lijiang, China, pp. 1708-1713, XP033222650.
Notice of Acceptance of Patent Application received for priority Australian Patent Application No. 2017294796, mailed May 15, 2019 (158 pages).
Pless, R .: “Using Many Cameras as One”, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Jun. 18, 2003 (Jun. 18, 2003), Madison , WI, USA, pp. 1-7, XP055564465.
Posada et al.: “High accurate robotic drilling with external sensor and compliance model-based compensation”, Robotics and Automation (ICRA), 2016 IEEE International Conference, May 16, 2016 (May 16, 2016), pp. 3901-3907, XP032908649.
Pritschow, G. et al., “A Mobile Robot for On-Site Construction of Masonry,” Inst. of Control Tech. for Machine Tools and Manuf. Units, pp. 1701-1707.
Pritschow, G. et al., “Application Specific Realisation of a Mobile Robot for On-Site Construction of Masonry,” Automation and Robotics in Construction XI, 1994, pp. 95-102.
Pritschow, G. et al., “Configurable Control System of a Mobile Robot for ON-Site Construction of Masonry,” Inst. of Control Technology for Machine Tools and Manuf. Units, pp. 85-92.
Pritschow, G. et al., “Technological aspects in the development of a mobile bricklaying robot,” Automation in Construction 5 (1996), pp. 3-13.
Riegl Laser Measurement Systems. “Long Range & High Accuracy 3D Terrestrial Laser Scanner System—LMS-Z420i.” pp. 1-4.
Salcudean, S. et al., “On the Control of Redundant Coarse-Fine Manipulators,” IEEE, pp. 1834-1840.
Sandy, T. et al.: “Autonomous Repositioning and Localization of an In Situ Fabricator”, 2016 IEEE International Conference on Robotics and Automation (ICRA), May 16, 2016 (May 16, 2016), pp. 2852-2858, XP055567467.
Skibniewski, M.J., “Current Status of Construction Automation and Robotics in the United States of America,” The 9th International Symposium on Automation and Robotics in Construction, Jun. 3-5, 1992, 8 pages.
Trimble ATS. “Advanced Tracking Sensor (ATS) with target recognition capability for stakeless machine control survey applications.” pp. 1-4.
Vincze, M. et al., “A Laser Tracking System to Measure Position and Orientation of Robot End Effectors Under Motion,” The International Journal of Robotics Research, vol. 13, No. 4, Aug. 1994, pp. 305-314.
Warszawski, A. et al., “Implementation of Robotics in Building: Current Status and Future Prospects,” Journal of Construction Engineering and Management, Jan./Feb. 1998, 124(1), pp. 31-41.
Willmann, J. et al.: “Robotic Timber Construction—Expanding Additive Fabrication to New Dimensions”, Automation in Construction, vol. 61, 2016, pp. 16-23, XP029310896.
Xu, H. et al.: “Uncalibrated Visual Servoing of Mobile Manipulators with an Eye-to-hand Camera”, Proceedings of the 2016 IEEE International Conference on Robotics and Biomimetics, Dec. 3, 2016 (Dec. 3, 2016), Qingdao, China, pp. 2145-2150, XP033071767.
Yu, S.N. et al., “Feasibility verification of brick-laying robot using manipulation trajectory and the laying pattern optimization,” Dept. of Mech. Eng., Automation in Construction (2009), pp. 644-655.
Fastbrick Robotics. “Fastbrick Robotics Building a revolution.” Jun. 2015. 14 pages.
European search report issued Mar. 28, 2022 in European Patent Application No. 19837417.5, 10 pages.
European search report issued Mar. 7, 2022 in European Patent Application No. 19838430.7, 9 pages.
Examination report issued Feb. 24, 2022 in Australian Patent Application No. 2017295317, 3 pages.
Examination report issued Dec. 26, 2021 in Saudi Arabian Patent Application No. 519400899, 8 pages.
Examination report issued Feb. 9, 2022 in Chinese Patent Application No. 201880067520.0, with English translation, 14 pages.
Decision of Rejection issued May 19, 2023 on Chinese Patent Application No. 201780056460.8.
Decision on Re-examination issued Sep. 13, 2023 on Chinese Patent Application No. 201780056460.8.
European search report issued Jul. 12, 2022 on European Patent Application No. 19885448.1.
Examination Report dated Sep. 11, 2023 on UAE Patent Application No. P60000862019.
Examination Report dated Nov. 16, 2023 on European Patent Application No. 17826697.9.
Examination Report dated Aug. 2, 2023 on Chinese Patent Application No. 201880057411.0.
Examination Report dated Feb. 29, 2024 on Australian Patent Application No. 2018317936.
Examination Report dated Sep. 29, 2023 on European Patent Application No. 18845794.9.
Examination Report dated Oct. 30, 2023 on UAE Patent Application No. P60002212020.
Examination Report dated Oct. 30, 2023 on UAE Patent Application No. P60019022019.
Examination Report dated Oct. 31, 2023 on Australian Patent Application No. 2018317937.
Examination Report dated Nov. 8, 2023 on UAE Patent Application No. P60005242020.
Examination report issued Feb. 11, 2023 on Chinese Patent Application No. 2018800554140.
Examination report issued Aug. 12, 2023 on Chinese Patent Application No. 201880067283.8.
Examination report issued Jul. 13, 2022 on Chinese Patent Application No. 201780056460.8.
Examination report issued Jun. 13, 2023 on Australian Patent Application No. 2018317941.
Examination report issued Jun. 14, 2023 on Chinese Patent Application No. 201880066598.0.
Examination report issued Nov. 14, 2022 on Australian Patent Application No. 2018317937.
Examination report issued Aug. 15, 2023 on Australian Patent Application No. 2018317937.
Examination report issued Feb. 16, 2024 on Australian Patent Application No. 2018303837.
Examination report issued Jul. 17, 2023 on Australian Patent Application No. 2018303838.
Examination report issued Jul. 17, 2023 on Australian Patent Application No. 2018304730.
Examination report issued Oct. 17, 2022 on European Patent Application No. 18834893.2.
Examination report issued Sep. 19, 2022 on Chinese Patent Application No. 201880057400.2.
Examination report issued Feb. 2, 2023 on Chinese Patent Application No. 201780056460.8.
Examination report issued Mar. 2, 2023 on Australian Patent Application No. 2018303330.
Examination report issued May 2, 2022 on Australian Patent Application No. 2018295572.
Examination report issued Oct. 20, 2022 on Australian Patent Application No. 2018303330.
Examination report issued Jun. 21, 2023 on European Patent Application No. 18828425.1.
Examination report issued Oct. 21, 2022 on Chinese Patent Application No. 201880057441.1.
Examination report issued Sep. 22, 2022 on Chinese Patent Application No. 201880057383.2.
Examination report issued Sep. 22, 2022 on Chinese Patent Application No. 2018800574110.
Examination report issued Apr. 24, 2023 on Chinese Patent Application No. 201880057400.2.
Examination report issued Oct. 24, 2022 on Chinese Patent Application No. 2018800573813.
Examination report issued Jan. 25, 2023 on European Patent Application No. 18834673.8.
Examination report issued Apr. 27, 2023 on Chinese Patent Application No. 201880057383.2.
Examination report issued Feb. 27, 2023 on Saudi Arabian Patent Application No. 520410931.
Examination report issued Sep. 27, 2022 on Saudi Arabian Patent Application No. 520411375.
Examination report issued Dec. 28, 2023 on Chinese Patent Application No. 201980060671.8.
Examination report issued Jul. 28, 2023 on Chinese Patent Application No. 201980089047.0.
Examination report issued Oct. 28, 2022 on Chinese Patent Application No. 201880067520.0.
Examination report issued Mar. 29, 2023 on European Patent Application No. 18834565.6.
Examination report issued Sep. 29, 2022 on Chinese Patent Application No. 201880067283.8.
Examination report issued Aug. 3, 2022 on European Patent Application No. 18835861.8.
Examination report issued Nov. 3, 2022 on European Patent Application No. 18835737.0.
Examination report issued May 30, 2022 on Chinese Patent Application No. 201880067520.0.
Examination report issued Sep. 4, 2023 on Australian Patent Application No. 2018317936.
Examination report issued Jul. 5, 2023 on Australian Patent Application No. 2018303329.
Examination report issued Jun. 6, 2023 on Chinese Patent Application No. 2018800573813.
Examination report issued Jul. 7, 2023 on Australian Patent Application No. 2018303837.
Jiang, B.C. et al., “A Review of Recent Developments in Robot Metrology.” J. of Manufacturing Systems, vol. 7 No. 4, (1988) pp. 339-357.
Losada, D.P. et al., “Distributed and Modular CAN-Based Architecture for Hardware Control and Sensor Data Integration.” May 3, 2017, pp. 1-17.
Muralikrishnan, B. et al., “Laser Trackers for Large-Scale Dimensional Metrology: A Review.” Precision Engineering 44 (2016), pp. 13-28.
Office Action dated Sep. 11, 2023 on Canadian Patent Application No. 3030764.
Office Action dated Nov. 25, 2023 on Chinese Patent Application No. 201780056460.8.
Wijenayake, U. et al., “Stereo Vision-Based 3D Pose Estimation of Product Labels for Bin Picking.” Journal of Inst. of Control Robotics and Systems (2016): 22(1): pp. 8-16.

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	Number	Date	Country
	20200206923 A1	Jul 2020	US

Dynamic path for end effector control

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