The present disclosure generally relates to robot trajectory planning for multi-manipulator robots and, more particularly, multi-manipulator robots, computer program products, and optimized trajectory planning for multi-manipulator robots.
Robots may operate within a space to perform particular tasks. For example, servant robots may be tasked with navigating within the operating space, locating objects, and manipulating objects. A robot may be commanded to find an object within the operating space, pick up the object, and move the object to a different location within the operating space. Trajectory plans of existing robots may cause the robot to move its manipulators sequentially, which may provide for motion that looks unnatural compared to human motion. Consider, for example, a mobile manipulator robot instructed to move a bottle from one table to another table. Although sequentially moving a first arm holding the bottle to a transfer position, and then moving the second arm to the transfer position to receive the bottle will accomplish the task, this sequential motion is not how a human would perform the task. In some cases, moving both arms at the same time, instead of moving them one by one, can make the motion appear more natural and time efficient.
Accordingly, a need exists for alternative robots, computer program products and methods for creating optimized trajectory plans such that the robot may move in a more human-like and time efficient manner.
In one embodiment, a method of controlling a robot having a first manipulator and a second manipulator includes receiving a trajectory plan including a plurality of sequential motion segments. Each motion segment corresponds to a component of the first manipulator or a component of the second manipulator, and the trajectory plan is operable to be executed by the robot to sequentially control the first manipulator and the second manipulator over a time period. The method further includes determining a moveable motion segment within the trajectory plan, and shifting the moveable motion segment and motion segments subsequent to the moveable motion segment backward in time to a shifted time such that one or more unshifted segments of the trajectory plan occur at a same time as one or more shifted segment segments, thereby generating an optimized trajectory plan. The method may further include controlling the robot according to the optimized trajectory plan such that one or more components of the first manipulator are moved concurrently with one or more components of the second manipulator.
In another embodiment, a computer program product for use with a computing device to create an optimized trajectory plan for controlling a robot having a first manipulator and a second manipulator includes a computer-readable medium storing computer-executable instructions for generating the optimized trajectory plan. The computer-executable instructions, when executed by a processor, cause the computing device to receive a trajectory plan including a plurality of sequential motion segments, wherein each motion segment corresponds to a component of the first manipulator or a component of the second manipulator, and the trajectory plan is operable to be executed by the robot to sequentially control the first manipulator and the second manipulator over a time period. The computer-executable instructions further causes the computing device to determine a moveable motion segment within the trajectory plan, and shift the moveable motion segment and motion segments subsequent to the moveable motion segment backward in time to a shifted time. The moveable motion segment and subsequent motion segments are shifted such that one or more unshifted segments of the trajectory plan occur at a same time as one or more shifted segment segments, thereby generating the optimized trajectory plan.
In yet another embodiment, a robot includes a first manipulator mechanically coupled to one or more first manipulator actuators, a second manipulator mechanically coupled to one or more second manipulator actuators, a processor, and a computer-readable medium storing computer-executable instructions for generating an optimized trajectory plan. The computer-executable instructions, when executed by the processor, cause the robot to receive a trajectory plan including a plurality of sequential motion segments. Each motion segment corresponds to a component of the first manipulator or a component of the second manipulator, and the trajectory plan is operable to be executed by the robot to sequentially control the first manipulator and the second manipulator over a time period. The computer-executable instructions further cause the robot to determine a moveable motion segment within the trajectory plan, and shift the moveable motion segment and motion segments subsequent to the moveable motion segment backward in time to a shifted time. The moveable motion segment and subsequent motion segments are shifted such such that one or more unshifted segments of the trajectory plan occur at a same time as one or more shifted segment segments, thereby generating the optimized trajectory plan. The computer-executable instructions may further cause the robot to execute the optimized trajectory plan such that one or more components of the first manipulator are moved concurrently with one or more components of the second manipulator.
These and additional features provided by the embodiments described herein will be more fully understood in view of the following detailed description, in conjunction with the drawings.
The embodiments set forth in the drawings are illustrative and exemplary in nature and not intended to limit the subject matter defined by the claims. The following detailed description of the illustrative embodiments can be understood when read in conjunction with the following drawings, where like structure is indicated with like reference numerals and in which:
Embodiments of the present disclosure are directed to robots with multiple manipulators, computer program products, and methods for optimizing multiple manipulator trajectory plans. Particularly, embodiments are directed to controlling a robot with two arms such that the robot moves in a more natural, human-like manner so that the actions of the robot may appear more pleasing to observers of the robot. As an example and not a limitation, in an action requiring the robot to transfer a target object from one hand to the other, rather than moving the first arm and then the second arm after completion of the movement of the first arm, the second arm may move at the same time as the first arm in anticipation of receiving the target object. The motion of the robot would look unnatural to a human observer if it were to move each of its arms in sequence, as described below. Moving both arms at the same time may look more natural to the human observer. Such motion may not only look more human-like, but also may complete the desired task more quickly. Other actions may include, but are not limited to, opening or closing a door, for example. Various embodiments of robots, and computer program products and methods for creating optimized trajectory plans for controlling a robot are described below.
Referring initially to
The robot 100 may be programmed to operate autonomously or semi-autonomously within an operational space, such as a home. In one embodiment, the robot 100 is programmed to autonomously complete tasks within the home throughout the day, while receiving audible (or electronic) commands from the user. For example, the user may speak a command to the robot 100, such as “please bring me the bottle on the table.” The robot 100 may then go to the bottle 130 and complete the task. In another embodiment, the robot 100 is controlled directly by the user by a human-machine interface, such as a computer. The user may direct the robot 100 by remote control to accomplish particular tasks. For example, the user may control the robot 100 to approach a bottle 130 positioned on a table 132. The user may then instruct the robot 100 to pick up the bottle 130. The robot 100 may then develop a trajectory plan for its first and second manipulators 110, 120 to complete the task. As described in more detail below, embodiments are directed to creating trajectory plans that are optimized for reduced execution time and for more human-like motion.
Referring now to
The robot 100 illustrated in
The memory component 143 may be configured as volatile and/or nonvolatile computer readable medium and, as such, may include random access memory (including SRAM, DRAM, and/or other types of random access memory), flash memory, registers, compact discs (CD), digital versatile discs (DVD), magnetic disks, and/or other types of storage components. Additionally, the memory component 143 may be configured to store, among other things, robot data/logic 144 and trajectory optimization logic 145, as described in more detail below. A local interface 141 is also included in
The processor 140 may include any processing component configured to receive and execute instructions (such as from the memory component 143). The input/output hardware 142 may include any hardware and/or software for providing input to the robot 100 (or computing device), such as, without limitation a keyboard, mouse, camera, microphone, speaker, touch-screen, and/or other device for receiving, sending, and/or presenting data. The network interface hardware 146 may include any wired or wireless networking hardware, such as a modem, LAN port, wireless fidelity (Wi-Fi) card, WiMax card, mobile communications hardware, and/or other hardware for communicating with other networks and/or devices.
It should be understood that the memory component 143 may reside local to and/or remote from the robot 100 and may be configured to store one or more pieces of data for access by the robot 100 and/or other components. It should also be understood that the components illustrated in
At frame 301, the robot 100 grasps the bottle 130 with a first manipulator 110 (i.e., with a hand of the first manipulator). The robot 100 may move the first manipulator 110 to a location close to the bottle 130 with open fingers, and then close its fingers around the bottle 130. At frame 302, the robot has moved the first manipulator 110 and bottle 130 to a transfer position. Note that the second manipulator 120 remained stationary while the first manipulator 110 was moving. This is not how a human would complete this task. A human would move his or her left arm while the right arm is moving the object toward the transfer position. At frames 303-305, the robot 100 opens the fingers 129 of the second manipulator 120 to receive the bottle 130, closes the fingers 129 of the second manipulator 120, and opens the fingers 119 of the first manipulator 110 to complete the transfer of the bottle 130. At frame 306, the robot 100 has moved the second manipulator 120 toward the second table 133 to place the bottle 130 on the second table 133. As described in more detail below, embodiments described herein parallelize the actions of the robot to achieve motion that is more human-like than those motions depicted in
Referring now to
The trajectory plan may be comprised of inverse kinematic instructions that are provided to the actuator drive hardware that control the manipulators of the robot. The trajectory plan may be configured as any instructions that are operable move the robot. Actual inverse kinematics or other instructions used to control the robot are not described herein. Embodiments are not limited to any particular type of robot programming.
The each motion segment of the trajectory plan 500 corresponds to the motion of the robot 100 illustrated in
Embodiments described and illustrated herein may optimize the received or otherwise developed non-optimized trajectory plan by determining a moveable motion segment, and then moving that moveable motion segment and all of the subsequent motion segments backward in time to a shifted location. By moving the moveable motion segment and the motion segments that occur subsequent to the moveable motion segment backward in time, the trajectory plan becomes parallelized such that original trajectory plan becomes split and portions are executed currently by the robot. The optimized trajectory plans yield more human-like motion executed by the robot.
Referring now to
A motion segment may be set as moveable if it satisfies certain conditional rules. In one embodiment, a motion segment is considered moveable if a predecessor motion segment that is adjacent to the particular motion segment being evaluated does not correspond to the same manipulator as the particular motion segment. For example, if a particular motion segment is labeled as “RA,” and its predecessor motion segment is also labeled as “RA,” it will not be considered moveable. It may not be desirable to stop a component of a manipulator from doing an action that it is supposed to be doing to perform a different action.
A moveable motion segment should also not be bonded to other motion segments as a bonded motion segment. A bonded motion segment is one that is associated with one or more additional motion segments. Referring to
A moveable motion segment should also have only one moving component associated with it. In other words, there should not be dual-arm motion in the motion segment.
In the present example, motion segment 512 is set as a moveable motion segment MS in
Next, the shifted time to which the moveable motion segment may be shifted to is determined. The moveable motion segment and its successors should be shifted backwards in time such that there is no conflict between any of the shifted motion segments with any of the unshifted segments. In one embodiment, multiple shifted times are determined and the shifted time that is the shortest is selected as the shifted time. Each shifted motion segment may be evaluated to determine how far back in time it may be shifted. The shifted time for all of the moveable motion segment should be such that conflict between components of the manipulators and the target object are avoided.
According to one embodiment, one or more conditional rules may be applied to determine a possible shifting time for a particular motion segment. A motion segment should not be shifted over other motion segments that manipulate the same target object. Referring to
Additionally, a particular motion segment under evaluation should not be shifted over other motion segments associated with a same component. As an example and not a limitation, motion segment 515 is associated with a right hand component of a manipulator, and should not be shifted over motion segment 510, which is also associated with the same right hand component. This would cause a conflict between the two motion segments.
Further, bonded motion segments should not be shifted past the time at which the moveable motion segment starts to ensure that the optimized trajectory plan will manipulate the target object successfully when executed by the robot. In the present example, bonded motion segments 514-516 should not be shifted passed the end of motion segment 511, which is where moveable motion segment 512 begins. Therefore, bonded motion segment 514 should not be shifted such that it occurs before the end of motion segment 511.
Referring now to
In some embodiments, more than one moveable motion segment may be found and shifted to further optimize the motion of the robot. Additionally, different conditional rules may be developed to create desired motion in the robot. Embodiments may also optimize trajectory plans for other robot tasks that require multi-manipulator motion, such as opening a large door, for example.
It should now be understood that the embodiments of the present disclosure optimize robot trajectory plans that have multi-manipulator motion such that the robot moves in a human-like and efficient manner. Robot motion in accordance with trajectory plans that are optimized according to the embodiments described herein may be more predictable to an observer of the robot. For example, an observer of the robot may expect the robot to move both arms which picking up an object and transferring the object between hands. Observers of a robot that moves in accordance with optimized trajectory plans as described herein may be more accepting of the robot.
While particular embodiments have been illustrated and described herein, it should be understood that various other changes and modifications may be made without departing from the spirit and scope of the claimed subject matter. Moreover, although various aspects of the claimed subject matter have been described herein, such aspects need not be utilized in combination. It is therefore intended that the appended claims cover all such changes and modifications that are within the scope of the claimed subject matter.
Number | Name | Date | Kind |
---|---|---|---|
3985238 | Nakura et al. | Oct 1976 | A |
4300198 | Davini | Nov 1981 | A |
4308584 | Arai et al. | Dec 1981 | A |
4530636 | Inaba et al. | Jul 1985 | A |
4550383 | Sugimoto | Oct 1985 | A |
4633385 | Murata et al. | Dec 1986 | A |
4762455 | Coughlan et al. | Aug 1988 | A |
4974210 | Lee | Nov 1990 | A |
4990838 | Kawato et al. | Feb 1991 | A |
5023808 | Seraji | Jun 1991 | A |
5038089 | Szakaly | Aug 1991 | A |
5336982 | Backes | Aug 1994 | A |
6580970 | Matsuda et al. | Jun 2003 | B2 |
6954681 | Fisher et al. | Oct 2005 | B2 |
6969965 | Takenaka et al. | Nov 2005 | B2 |
7155316 | Sutherland et al. | Dec 2006 | B2 |
7211978 | Chang et al. | May 2007 | B2 |
7245975 | Mirza | Jul 2007 | B2 |
7386365 | Nixon | Jun 2008 | B2 |
7571025 | Bischoff | Aug 2009 | B2 |
7592768 | Shirai et al. | Sep 2009 | B2 |
7751938 | Tsusaka et al. | Jul 2010 | B2 |
7774099 | Kobayashi et al. | Aug 2010 | B2 |
7848851 | Nishi et al. | Dec 2010 | B2 |
20030023347 | Konno et al. | Jan 2003 | A1 |
20040030452 | Graf et al. | Feb 2004 | A1 |
20040068348 | Jager | Apr 2004 | A1 |
20050055132 | Matsumoto et al. | Mar 2005 | A1 |
20050125099 | Mikami et al. | Jun 2005 | A1 |
20060217841 | Matsumoto et al. | Sep 2006 | A1 |
20060287769 | Yanagita et al. | Dec 2006 | A1 |
20080075561 | Takemura et al. | Mar 2008 | A1 |
20080249663 | Aoyama | Oct 2008 | A1 |
20090069942 | Takahashi | Mar 2009 | A1 |
20090148035 | Ohno et al. | Jun 2009 | A1 |
20100256818 | Aoba et al. | Oct 2010 | A1 |
20110093119 | Park et al. | Apr 2011 | A1 |
20110153076 | Noro | Jun 2011 | A1 |
20110307096 | Sladek et al. | Dec 2011 | A1 |
20120136481 | Maisonnier et al. | May 2012 | A1 |
20120165979 | Lim et al. | Jun 2012 | A1 |
Number | Date | Country |
---|---|---|
2353796 | Oct 2001 | EP |
Entry |
---|
Saut, Jean-Philippe, Planning Pick-and-Place tasks with two-hand regrasping, Oct. 2010, The 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 4528-4533. |
Andrew T. Miller and Peter K. Allen, GraspIt! A Versatile Simulator for Robotic Grasping, IEEE Robotics & Automation Magazine, Dec. 2004. |
Corey Goldfeder, Matei Ciocarlie, Hao Dang and Peter K. Allen, The Columbia Grasp Database, authors are with the Dept. of Computer Science, Columbia University, NY, USA. |
Kaijen Hsiao, Matei Ciocarlie, and Peter Brook, Bayesian Grasp Planning, Willow Garage Inc., Menlo Park, CA. |
Gorges et al, “A Framework for Creating, Coordinating, and Executing Skills on a Humanoid Robot,” Humanoids 07, IEEE, 978-1-4244-1862, Jun. 2007, pp. 385-391. |
European Search Report issued in corresponding EP application No. 13151030.7, dated Jun. 20, 2014. |
Number | Date | Country | |
---|---|---|---|
20130184866 A1 | Jul 2013 | US |