This present disclosure relates to automated guided vehicles (AGVs). In a more particular example, this present disclosure relates to automated guided vehicles that automatically transport shelving units between different locations.
Storage facilities usually rely on human workers to transport shelving units between different locations in the storage facility. For example, the human workers may enter a delivery truck docked at the storage facility, manually move the shelving unit out of its original position in the delivery truck, and drag the shelving unit from the delivery truck onto the floor of the loading/unloading dock in the storage facility. The shelving unit may be heavy due to multiple containers storing various items placed on the shelving unit. This existing solution is generally inefficient and often quickly causes fatigue to the human workers due to the significant physical effort to move and balance the heavy shelving unit. Some modern storage facilities use robotic devices to assist the human workers in operations of the shelf-transporting process. However, these robotic devices often require a large space to maneuver and perform their operations. Therefore, it is typically impossible or impractical for these robotic devices to handle and transport the shelving units located in tight or narrow areas (e.g., inside the delivery truck, at the corners in the storage facility, etc.).
An automated guided vehicle (AGV) can be configured to perform particular operations or actions by virtue of having software, firmware, hardware, or a combination thereof installed on the AGV that in operation cause the AGV to perform the operations or actions. According to one innovative aspect of the subject matter described in this disclosure, an AGV includes: a lift platform including a support surface adapted to contact a surface of a shelving unit and provide support from underneath the shelving unit when the support surface is in an elevated position and the shelving unit is situated on the support surface, and a lifting mechanism including one or more motors coupled to the support surface and providing a first lifting force via a first portion of the support surface and a second lifting force via a second portion of the support surface, the first lifting force and the second lifting force vertically lifting or lowering the shelving unit via the support surface based on a weight distribution of the shelving unit on the support surface; and an AGV controller configured to control one or more operations of the AGV.
In general, another innovative aspect of the subject matter described in this disclosure may be embodied in methods comprising: aligning an automated guided vehicle (AGV) to a shelving unit at a first position relative to the shelving unit; relocating the AGV from the first position to a second position underneath a surface of the shelving unit; lifting the shelving unit using a lift platform of the AGV, the lift platform including a support surface coupled to a lifting mechanism, the lifting mechanism elevating the support surface to an elevated position to situate the shelving unit on the support surface, the lifting mechanism providing a first lifting force via a first portion of the support surface and a second lifting force via a second portion of the support surface, the first lifting force and the second lifting force vertically lifting the shelving unit on the support surface based on a weight distribution of the shelving unit on the support surface; and transporting the shelving unit situated on the support surface to a target position in an operating environment.
In general, another innovative aspect of the subject matter described in this disclosure may be embodied in methods comprising: aligning an automated guided vehicle (AGV) to a shelving unit in a vehicle at a first position relative to the shelving unit; relocating the AGV from the first position to a second position underneath a surface of the shelving unit; lifting the shelving unit using a lift platform of the AGV, the lift platform including a support surface coupled to a lifting mechanism, the lifting mechanism elevating the support surface to an elevated position to situate the shelving unit on the support surface, the lifting mechanism providing a first lifting force via a first portion of the support surface and a second lifting force via a second portion of the support surface, the first lifting force and the second lifting force vertically lifting the shelving unit on the support surface based on a weight distribution of the shelving unit on the support surface; transporting the shelving unit situated on the support surface to a target position in a facility; determining that the AGV reached the target position; and responsive to determining that the AGV reached the target position, lowering the support surface on which the shelving unit is situated from the elevated position to place the shelving unit at the target position in the facility.
These and other implementations of the AGV may each optionally include one or more of the following features: a first sensor coupled to the first portion of the support surface and a second sensor are coupled to the second portion of the support surface, the first sensor and the second sensor detecting the weight distribution of the shelving unit when the shelving unit is supported by the support surface; that the surface of the shelving unit is a bottom surface of the shelving unit, and the support surface is extended along at least a portion of the bottom surface of the shelving unit, the portion of the bottom surface of the shelving unit satisfying a length threshold associated with a length of the shelving unit; a drive unit includes one or more multi-directional wheels that are coupled to the lifting platform and rotatable around two or more axes to move the AGV; that the lift platform and the drive unit form a low-elevated and elongated body of the AGV, the low-elevated and elongated body of the AGV satisfy a dimension threshold associated with a space underneath the surface of the shelving unit; a guidance unit includes one or more sensors that detect one or more graphic markers in an operating environment to navigate the AGV in the operating environment; that the support surface is a flat, rectangular surface; aligning the AGV to the shelving unit at a first position relative to the shelving unit, relocating the AGV from the first position to a second position underneath the surface of the shelving unit, lifting the shelving unit using the first lifting force provided via the first portion of the support surface and the second lifting force provided via the second portion of the support surface, and transporting the shelving unit situated on the support surface to a target position; that aligning the AGV to the shelving unit includes detecting a first graphic marker associated with the first position relative to the shelving unit; that relocating the AGV from the first position to the second position includes determining the second position underneath the surface of the shelving unit at which a center point of the support surface of the lift platform is proximate to a center point of the surface of the shelving unit, and relocating the AGV from the first position to the second position; that transporting the shelving unit includes, responsive to lifting the shelving unit, starting to move the AGV at an initial acceleration rate satisfying an acceleration rate threshold; determining that the AGV reached the target position, and responsive to determining that the AGV reached the target position, lowering the support surface on which the shelving unit is situated from the elevated position to place the shelving unit at the target position; and that the support surface is adaptively adjustable to a slope of the surface of the shelving unit.
These and other implementations of the method may each optionally include one or more of the following features: detecting, using a first sensor coupled to the first portion of the support surface and a second sensor coupled to the second portion of the support surface, the weight distribution of the shelving unit when the shelving unit is supported by the support surface; adjusting the support surface to a slope of the surface of the shelving unit; that the surface of the shelving unit is a bottom surface of the shelving unit, and the support surface supports the shelving unit from underneath the shelving unit when the shelving unit is situated on the support surface, the support surface extended along at least a portion of the bottom surface of the shelving unit and the portion of the bottom surface of the shelving unit satisfying a length threshold; that the AGV includes a drive unit comprising one or more multi-directional wheels that are coupled to the lifting platform and rotatable around two or more axes to move the AGV, and the lift platform and the drive unit form a low-elevated and elongated body of the AGV, the low-elevated and elongated body of the AGV satisfying a dimension threshold associated with a space underneath the surface of the shelving unit; that aligning the AGV to the shelving unit at the first position includes detecting a first graphic marker associated with the first position relative to the shelving unit, and transporting the shelving unit to the target position includes detecting one or more graphic markers in the operating environment to navigate the AGV to the target position.
Other implementations of one or more of these aspects include corresponding systems, apparatus, and computer programs, configured to perform the actions of the methods, encoded on computer storage devices.
It should be understood that the language used in the present disclosure has been principally selected for readability and instructional purposes, and not to limit the scope of the subject matter disclosed herein.
The disclosure is illustrated by way of example, and not by way of limitation in the figures of the accompanying drawings in which like reference numerals are used to refer to similar elements.
The technology presented in this disclosure improves upon existing approaches and is advantageous in a number of respects. For example, the Automated Guided Vehicle (AGV) described herein may have a low-elevated and elongated design that enables the AGV to slide underneath the shelving unit, lift the shelving unit up, and transport the shelving unit to a target position. The AGV only requires a limited space to operate and is therefore capable of handling and transporting shelving units located in tight or narrow areas (e.g., inside a fully loaded delivery vehicle). Furthermore, the AGV may also have one or more multi-directional wheels capable of rotating around multiple axes to move the AGV in multiple directions, and thus the AGV can flexibly maneuver in a compact space. As discussed above, the AGV can lift the shelving unit up to transport the shelving unit, and therefore the friction between the shelving unit and the floor surface during transportation can be avoided. In some implementations, the AGV can lift the shelving unit, so the present technology can also eliminate the need to provide the shelving unit with wheels, thereby avoiding unexpected rolling of the shelving unit, especially in case the shelving unit is placed inside a moving vehicle. As a further example, the AGV described herein may provide lifting forces via the support surface to vertically lift or lower the shelving unit based on the weight distribution of the shelving unit on the support surface. When the shelving unit is lifted, the AGV may start moving at a relatively low acceleration rate to transport the shelving unit. The AGV may also monitor a balance condition of the shelving unit during lifting, lowering, and transportation and adjust the lifting forces based on the balance condition. Accordingly, in some implementations, the AGV can advantageously balance a shelving unit situated on the AGV as the shelving unit is lifted and transported to its target position.
The technology described herein includes an example AGV that automatically transports the shelving unit between different locations. The AGV may be a robotic vehicle operating in the storage facility. As the AGV can transport a shelving unit, the AGV may be referred to herein as a shelf-transport AGV, although it should be understood that the AGV may transport other types of objects (e.g., pallets, containers, inventory items, etc.). In some embodiments, the shelving unit may be an object that is capable of accommodating items. In some embodiments, the shelving unit may include one or more shelves on which containers (e.g., storage boxes, mini-pallets, totes, etc.), which may hold various inventory items may be placed. Non-limiting examples of the shelving unit include, but are not limited to, a shelf, a rack, a cart, etc. In some embodiments, the shelving unit, when positioned on a floor surface, may have a space underneath the shelving unit that is in between the bottom surface of the shelving unit and the floor surface (e.g., the ground, floor, floor of the delivery vehicle, etc.). Depending on the embodiment, the shelving unit may or may not have wheels.
An example shelf-transport AGV 100 is depicted in
In some embodiments, the components of the shelf-transport AGV 100 (e.g., the lift platform, the drive unit, etc.) may form a low-elevated and elongated body of the shelf-transport AGV 100. The low-elevated and elongated body of the shelf-transport AGV 100 may satisfy one or more dimension thresholds associated with the space underneath the shelving unit. For example, the shelf-transport AGV 100 may have the length, the width, and/or the height respectively lesser than the length, the width, and/or the height of the space underneath the bottom surface of the shelving unit being transported. As a result, the shelf-transport AGV 100 may have sufficient clearance between the bottom surface of the shelving unit and the shelf-transport AGV 100 to fit into the space underneath the shelving unit. Thus, the shelf-transport AGV 100 may slide between the legs and/or the wheels of the shelving unit to position itself underneath the shelving unit, lift the shelving unit to situate the shelving unit on the shelf-transport AGV 100, and transport the shelving unit situated on the shelf-transport AGV 100 to the target position. In some embodiments, the length and/or the width of the shelf-transport AGV 100 may substantially equal to the length and/or the width of the bottom surface of the shelving unit (e.g., 70% to 80% of the corresponding dimensions) in order to reliably support the shelving unit from underneath the shelving unit. As an example of the dimensions of the shelf-transport AGV 100, the shelf-transport AGV 100 may have a length of approximately 46 inches, a width of approximately 13 inches, and a height of approximately 6 to 7 inches. Other implementations of the dimensions of the shelf-transport AGV 100 are also possible and contemplated.
As discussed elsewhere herein, the shelf-transport AGV 100 may include a lift platform that comprises the support surface 130 coupled to the lifting mechanism 132. In some embodiments, the support surface 130 may be a flat surface on which the shelving unit may be situated and rest against the support surface 130. To support the shelving unit, the support surface 130 may be adapted to contact a surface of the shelving unit. In some embodiments, the surface of the shelving unit may be a bottom surface of the shelving unit. Thus, as the shelving unit is situated on the support surface 130, the support surface 130 may provide support to the shelving unit from underneath the shelving unit. In some embodiments, the lifting mechanism 132 may include one or more motors (not shown) coupled to the support surface 130. To support the shelving unit, the lifting mechanism 132 may actuate the one or more motors to elevate the support surface 130 to the elevated position at which the support surface 130 comes into contact with the bottom surface of the shelving unit, thereby situating the shelving unit on the support surface 130. As discussed above, when the support surface 130 is in the elevated position and the shelving unit is situated on the support surface 130, the support surface 130 may support the shelving unit from underneath the shelving unit via the bottom surface of the shelving unit, although other implementations are possible and contemplated herein.
In some embodiments, the lifting mechanism 132 may adjust the position of the support surface 130 to adapt to the shelving unit being transported. For example, the lifting mechanism 132 may adaptively adjust the support surface 130 to a slope of the surface of the shelving unit. In some embodiments, as the lifting mechanism 132 elevates the support surface 130 to an elevated position, the lifting mechanism 132 may also adjust the slope angle between the support surface 130 and the floor surface to be compatible with the slope angle between the bottom surface of the shelving unit and the floor surface, for example by lifting different portions of the support surface 130 different distances, as described in further detail elsewhere herein. These implementations may be advantageous because they may increase the stability of the shelving unit situated on the support surface 130.
As depicted in
As discussed elsewhere herein, the lifting mechanism 132 may include one or more motors coupled to the support surface 130. For example, the lifting mechanism 132 may be a dual-motor lift mechanism that includes two motors (e.g., stepper motors). Other numbers or types of motors (e.g., servo motors, brushless motors, etc.) are also possible and contemplated. In some embodiments, the one or more motors of the lifting mechanism 132 may have a motor size satisfying a motor size threshold (e.g., the height of each motor is lower than 5 inches) and have a motor power satisfying a motor power threshold (e.g., higher than 1 kW). As a result, the shelf-transport AGV 100 may be able to fit into the space underneath the shelving unit, while being capable of lifting and transporting a shelving unit with items placed thereon. It should be understood that instead of using motors, the lifting mechanism 132 may use a different mechanical or hydraulic lifting device to provide the lifting forces to the shelving unit.
In some embodiments, when the shelving unit is situated on the support surface 130, the one or more motors of the lifting mechanism 132 may provide a first lifting force via a first portion of the support surface 130 and a second lifting force via a second portion of the support surface 130. The first and second lifting forces may vertically lift or lower the shelving unit via the support surface 130 based on a weight distribution of the shelving unit on the support surface 130. In some embodiments, to detect the weight distribution of the shelving unit on the support surface 130, the lifting mechanism 132 may include a first sensor coupled to the first portion of the support surface 130 and a second sensor coupled to the second portion of the support surface 130. The sensors may be pressure sensors, resistance (e.g., electrical or mechanical resistance to the motor) sensors, etc.
An exploded-view diagram 112 of an example shelf-transport AGV 100 is depicted in
In some embodiments, the first sensor may monitor the weight of the shelving unit applied to the first portion 141 of the support surface 130, and the second sensor may monitor the weight of the shelving unit applied to the second portion 143 of the support surface 130, thereby detecting the weight distribution of the shelving unit on the support surface 130. The lifting mechanism 132 may then provide the first lifting force via the first portion 141 of the support surface 130, and provide the second lifting force via the second portion 143 of the support surface 130 based on the weight distribution of the shelving unit on the support surface 130. In some embodiments, the lifting force provided to the shelving unit via a particular portion of the support surface 130 may be directly proportional to the weight of the shelving unit applied to that portion. In some instances, the shelf transport AGV 100 may vary the lifting force to match a shifting weight balance of the shelving unit, for example, when the shelf transport AGV 100 accelerates or navigates up or down a slope.
As an example, the first sensor may detect the weight of the shelving unit applied to the first portion 141 of the support surface 130 to be 100 kg, and the second sensor may detect the weight of the shelving unit applied to the second portion 143 of the support surface 130 to be 250 kg. The shelf-transport AGV 100 may determine the weight difference between the weight of the shelving unit applied to the first portion 141 and the weight of the shelving unit applied to the second portion 143 (e.g., 150 kg). The shelf-transport AGV 100 may determine that the weight difference satisfies a weight difference threshold (e.g., higher than 50 kg), and thus determine that the shelving unit is situated on the support surface 130 in an unbalance manner. In this example, the lifting mechanism 132 may provide a first lifting force via the first portion 141 of the support surface 130, and provide a second lifting force via the second portion 143 of the support surface 130. The first lifting force may be proportional to the weight of the shelving unit applied to the first portion 141 of the support surface 130, and the second lifting force may be proportional to the weight of the shelving unit applied to the second portion 143 of the support surface 130, whether by matching the forces with the weights or by applying more force to a heavier side of the shelving unit. In some embodiments, the lifting mechanism 132 may lift a heavier side of the shelving unit farther than a lighter side of the shelving unit in order to shift the weight, and therefore the balance, of the shelving unit into a more stable position (e.g., where a center of gravity of the shelving unit is near the center of the support surface 130). As a result, the lifting mechanism 132 may lift the shelving unit in a balanced manner with the first lifting force and the second lifting force.
In some embodiments, during the transportation of the shelving unit to the target position, the first sensor and the second sensor may continue monitoring the weight of the shelving unit applied to the first portion and the second portion of the support surface 130. Thus, the shelf-transport AGV 100 may detect a change in the weight distribution of the shelving unit on the support surface 130, and dynamically adapt the first lifting force and the second lifting force during the transportation. For example, as the shelving unit is carried by the shelf-transport AGV 100, the shelf-transport AGV 100 may determine that the weight of the shelving unit applied to the second portion 143 of the support surface 130 increases while the weight of the shelving unit applied to the first portion 141 of the support surface 130 decreases (e.g., due to tilt of the shelving unit towards the second end of the support surface 130 that is proximate to the second portion 143, acceleration, etc.). In this example, the shelf-transport AGV 100 may decrease the first lifting force and/or lifting height (e.g., by changing the lifting force) provided via the first portion 141 of the support surface 130, and increase the second lifting force and/or lifting height provided via the second portion 143 of the support surface 130, thereby regaining the balance of the shelving unit situated on the support surface 130.
Referring back to
In some embodiments, the shelf-transport AGV 100 may include a guidance unit (not shown) to allow the shelf transport AGV 100 to reposition itself or navigate in the operating environment. For example, the shelf-transport AGV 100 may rely on guidance provided by guidance unit to reposition itself relative to the shelving unit being transported. In another example, the shelf-transport AGV 100 may rely on the guidance unit to navigate from the initial position at which the shelving unit is initially placed to the target position of the shelving unit in the storage facility. In some embodiments, the guidance unit may include one or more sensors. Examples sensors of the guidance unit include, but are not limited to, vision sensors (e.g., camera, etc.), optical reader devices (e.g., marker scanner, etc.), radio beacon or tag readers, etc. Other types of sensors are also possible and contemplated.
In some embodiments, the optical sensors may be image sensors capable of recording images (e.g., video or still images), recording frames of a video stream, etc. In some embodiments, the optical sensors may be mounted on the shelf-transport AGV 100 and capture images of the surrounding environment within their optical range. In some embodiments, the shelf-transport AGV 100 may analyze the captured images to determine its current position and/or to detect various objects present in the surrounding environment (e.g., shelving units, human workers, other AGVs, etc.). The shelf-transport AGV 100 may then adaptively reposition itself relative to the detected object, and/or determine a travel path to navigate through the detected objects to a target position.
In some embodiments, the reader devices may be optical scanners capable of performing read operations to read graphic markers. Non-limiting examples of a graphic marker include, but are not limited to, a barcode, Quick Response (QR) code, Radio Frequency Identification (RFID) label, etc. In some embodiments, the graphic marker may be attached to various objects and/or various locations in the operating environment. For example, the graphical marker may be attached to shelving units, containers, inventory items, AGVs, the floor, walls, etc. In another example, the graphical marker may be attached to the designated position (e.g., on the floor, wall, ceiling, etc.) at which shelving units are placed in a delivery vehicle, the target position to which the shelving unit is transported in the storage facility, etc. In some embodiments, the reader devices may read the graphic marker to obtain the unique identifier (ID) of the object and/or location to which the graphical marker is attached. The shelf-transport AGV 100 may then rely on these unique ID to identify the shelving unit to be transported, align itself to the shelving unit, determine whether the target position of the shelving units is reached, navigate between different locations in the storage facility, etc.
In some embodiments, the shelf-transport AGV 100 may include an indicator coupled to the lift platform. The indicator may project a signal that indicates the shelf-transport AGV 100 in an operating environment, thereby notifying the presence and/or the current operation of the shelf-transport AGV 100 to other entities located proximate to the shelf-transport AGV 100 in the operating environment. The indicator may allow the human workers and other AGVs located nearby to be aware of the shelf-transport AGV 100 despite its low-elevated and elongated body that may not attract attention. For example, the shelf-transport AGV 100 may include the light indicators 120 coupled to the lifting mechanism 132 as depicted in
The processor 152 may execute software instructions by performing various input, logical, and/or mathematical operations. The processor 152 may have various computing architectures to process data signals including, for example, a complex instruction set computer (CISC) architecture, a reduced instruction set computer (RISC) architecture, and/or an architecture implementing a combination of instruction sets. The processor 152, which may include one or more processors, may be physical and/or virtual, and may include a single core or plurality of processing units and/or cores. In some embodiments, the processor 152 may be capable of generating and providing electronic signals to other computing entities (e.g., servers, other AGVs, etc.), performing complex tasks such as image processing, AGV alignment and/or navigation, etc. In some embodiments, the processor 152 may be coupled to the memory 154 via the bus 190 to access data and instructions therefrom and store data therein. The bus 190 may couple the processor 152 to the other components of the computing device 150 including, for example, the AGV controller 160, the memory 154, the data store 156, the communication unit 158, the input devices 170, and/or the output devices 180.
The memory 154 may store and provide access to data to the other components of the computing device 150. The memory 154 may be included in a single computing device or a plurality of computing devices. In some embodiments, the memory 154 may store instructions and/or data that may be executed by the processor 152. For example, the memory 154 may store computer logic executed by the AGV controller 160, depending on the configuration. The memory 154 is also capable of storing other instructions and data, including, for example, an operating system, hardware drivers, software applications, databases, etc. The memory 154 may be coupled to the bus 190 for communication with the processor 152 and other components of computing device 150. The memory 154 may include a non-transitory computer-usable (e.g., readable, writeable, etc.) medium, which can be any non-transitory apparatus or device that can contain, store, communicate, propagate, or transport instructions, data, computer programs, software, code, routines, etc., for processing by or in connection with the processor 152. In some embodiments, the memory 154 may include one or more of volatile memory and non-volatile memory (e.g., RAM, ROM, hard disk, optical disk, etc.). It should be understood that the memory 154 may be a single device or may include multiple types of devices and configurations.
The bus 190 may include a communication bus for transferring data between components of a computing device or between computing devices, a network bus system including a network or portions thereof, a processor mesh, a combination thereof, etc. In some embodiments, the server, the AGV controller 160, and various other components operating on the computing device 150 (operating systems, device drivers, etc.) may cooperate and communicate via a communication mechanism included in or implemented in association with the bus 190. The software communication mechanism may include and/or facilitate, for example, inter-method communication, local function or procedure calls, remote procedure calls, an object broker (e.g., CORBA), direct socket communication (e.g., TCP/IP sockets) among software modules, UDP broadcasts and receipts, HTTP connections, etc. In some embodiments, any or all of the communication can be secure (e.g., SSH, HTTPS, etc.).
The communication unit 158 may include one or more interface devices (I/F) for wired and wireless connectivity among the computing entities of the system (e.g., the server, the AGVs, etc.). For example, the communication unit 158 may include, but is not limited to, various types known connectivity and interface options. The communication unit 158 may be coupled to other components of the computing device 150 via the bus 190. The communication unit 158 may be coupled to a network (e.g., the Internet, an intranet, etc.), depending on the configuration. In some embodiments, the communication unit 158 may link the processor 152 to the network, which may in turn be coupled to other processing systems. The communication unit 158 may provide other connections to a network, servers, and/or computing devices using various standard communication protocols.
The data store 156 may include a non-transitory storage medium that stores various types of data and provides access to the data. The data stored by the data store 156 may be organized and queried using various criteria. For example, the data store 156 may include data tables, databases, or other organized collections of data. In some embodiments, the data store 156 may be included in the computing device 150 or in another computing system and/or storage system distinct from but coupled to or accessible by the computing device 150. In some embodiments, the data store 156 may be incorporated with the memory 154 or may be distinct therefrom. In some embodiments, the data store 156 may store data associated with a database management system (DBMS) operable on the computing device 150. For example, the DBMS could include a structured query language (SQL) DBMS, a NoSQL DBMS, various combinations thereof, etc. In some instances, the DBMS may store data in multi-dimensional tables comprised of rows and columns, and manipulate, e.g., insert, query, update and/or delete, rows of data using programmatic operations.
In some embodiments, the data stored by the data store 156 may include, but is not limited to, AGV data, shelving unit data, location data, map data, guidance marker data, etc. For example, the data store 156 may store the AGV ID of the shelf-transport AGV 100, the shelving unit ID of the shelving unit transported by the shelf-transport AGV 100, dimensions of the shelving unit, an initial position and a target position of the shelving unit, etc. The data store 156 may also store the current location of the shelf-transport AGV 100, the current location of other AGVs in the operating environment, the map data describing the operating environment (e.g., the facility map of the storage facility), etc. Other types of data are also possible and contemplated.
The input devices 170 may include any device for inputting information into the computing device 150. The input devices 170 may be coupled to the computing device 150 directly or through intervening Input/Output (I/O) controllers. In some embodiments, the input devices 170 may include one or more peripheral devices such as a touch-screen display, a keyboard (e.g., a virtual keyboard), a pointing device (e.g., a virtual mouse device), a microphone for receiving user input via speech, etc. As depicted in
The output devices 180 may include any device capable of outputting information from the computing device 150. The output devices 180 may be coupled to the computing device 150 directly or through intervening I/O controllers. In some embodiments, the output devices 180 may include one or more peripheral devices such as a display (e.g., touch-screen display, Liquid Crystal Display (LCD), etc.), an audio reproduction device (e.g., a speaker), etc. As depicted in
The AGV controller 160 may include computer logic executable by the processor 152 or by the server to control one or more operations of the shelf-transport AGV 100. For example, the AGV controller 160 may control the operations of the shelf-transport AGV 100 to transport the shelving unit between different locations. In some embodiments, the AGV controller 160 may be implemented using software executable by one or more processors of one or more computer devices, using hardware, such as, but not limited to a field-programmable gate array (FPGA), an application-specific integrated circuit (ASIC), etc., and/or a combination of hardware and software, etc. In some embodiments, the AGV controller 160 may communicate with other components of the computing device 150 via the bus 190 and/or the processor 152, and communicate with other entities of the system via the network. In some embodiments, the AGV controller 160 may be a set of instructions executable by the processor 152 to provide its functionality. In further embodiments, the AGV controller 160 may be storable in the memory 154 and accessible and executable by the processor 152 to provide its functionality. In any of the foregoing embodiments, the AGV controller 160 may be adapted for cooperation and communication with the processor 152 and other components of the computing device 150. For example, the AGV controller 160 may receive input data from one or more input devices 170 (e.g., a captured image, shelving unit ID, initial position or target position of the shelving unit, graphic marker ID, etc.), process the input data, and provide one or more outputs via one or more output devices 180 (e.g., indication signal, transportation complete notification, etc.). Example operations of the AGV controller 160 are described in detail below with reference to at least
The network 220 may be a conventional type, wired and/or wireless, and may have numerous different configurations including a star configuration, token ring configuration, or other configurations. Furthermore, the network 220 may include one or more local area networks (LAN), wide area networks (WAN) (e.g., the Internet), personal area networks (PAN), cellular networks, public networks, private networks, virtual networks, virtual private networks, peer-to-peer networks, near field networks (e.g., Bluetooth, NFC, etc.), and/or other interconnected data paths across which multiple devices may communicate.
The network 220 may also be coupled to or include portions of a telecommunications network for sending data in a variety of different communication protocols. Example protocols include, but are not limited to, transmission control protocol/Internet protocol (TCP/IP), user datagram protocol (UDP), transmission control protocol (TCP), hypertext transfer protocol (HTTP), secure hypertext transfer protocol (HTTPS), dynamic adaptive streaming over HTTP (DASH), real-time streaming protocol (RTSP), real-time transport protocol (RTP) and the real-time transport control protocol (RTCP), voice over Internet protocol (VOW), file transfer protocol (FTP), WebSocket (WS), wireless access protocol (WAP), various messaging protocols (SMS, MMS, XMS, IMAP, SMTP, POP, WebDAV, etc.), or other suitable protocols. In some embodiments, the network 220 is a wireless network using a connection such as DSRC (Dedicated Short Range Communication), WAVE, 802.11p, a 3G, 4G, 5G+ network, WiFi™, satellite networks, or other suitable networks. Although
As depicted in
In block 304, the AGV controller 160 may align the shelf-transport AGV 100 to the shelving unit at a first position relative to the shelving unit. In some embodiments, the first position may be located along an edge of the shelving unit and have a distance between the first position and the edge of the shelving unit satisfying a distance threshold (e.g., less than 15 cm). In some embodiments, the first position may be indicated by a first graphic marker (e.g., QR code), and thus the reader device 174 of the shelf-transport AGV 100 may detect the first graphic marker associated with the first position to align the shelf-transport AGV 100 to the shelving unit. The first graphic marker may be attached to the shelving unit or to the floor surface proximate to the shelving unit (e.g., the vehicle floor of the delivery vehicle, the ground surface of the loading dock, etc.) such that when the reader device 174 of the shelf-transport AGV 100 detects the first graphic marker, the shelf-transport AGV 100 is at the first position relative to the shelving unit. In other embodiments, the vision sensor of the shelf-transport AGV 100 may capture one or more images of the shelving unit from the perspective of the shelf-transport AGV 100. The AGV controller 160 may then determine the first position relative to the shelving unit based on the captured images, and relocate the shelf-transport AGV 100 to the first position to align the shelf-transport AGV 100 to the shelving unit. Other implementations for aligning the shelf-transport AGV 100 to the shelving unit are also possible and contemplated.
Continuing the example depicted in
In block 306, the AGV controller 160 may relocate the shelf-transport AGV 100 from the first position to a second position underneath the shelving unit. In some embodiments, the AGV controller 160 may determine the second position underneath the surface of the shelving unit at which a center point of the support surface 130 of the lift platform is proximate to a center point of the surface of the shelving unit. The AGV controller 160 may then relocate the shelf-transport AGV 100 from the first position to the second position. This configuration may be advantageous, because the balance of the shelving unit on the support surface 130 can be improved due to the proximity between the center point of the surface of the shelving unit and the center point of the support surface 130 on which the shelving unit will be situated.
In some embodiments, to determine the second position underneath the shelving unit, the AGV controller 160 may retrieve or determine the size of the bottom surface of the shelving unit, estimate the center point of the bottom surface of the shelving unit, and determine the second position at which the distance between the center point of the bottom surface of the shelving unit and the center point of the support surface 130 of the shelf-transport AGV 100 satisfies a proximity threshold (e.g., less than 2 cm). In some embodiments, the second position may be indicated by a second graphic marker attached to the bottom surface of the shelving unit such that when the reader device 174 of the shelf-transport AGV 100 detects the second graphic marker, the shelf-transport AGV 100 is at the second position at which the center point of the bottom surface of the shelving unit is proximate to the center point of the support surface 130 of the shelf-transport AGV 100. Other implementations for determining the second position underneath the shelving unit are also possible and contemplated.
Continuing the example depicted in
In block 308, when the shelf-transport AGV 100 is relocated to the second position underneath the shelving unit, the shelf-transport AGV 100 may lift the shelving unit using the lift platform of the shelf-transport AGV 100. In some embodiments, to lift the shelving unit, the lifting mechanism 132 may actuate its motors to elevate the support surface 130 to the elevated position at which the support surface 130 comes into contact with the bottom surface of the shelving unit, thereby situating the shelving unit on the support surface 130. In some embodiments, the lifting mechanism 132 may adjust the support surface 130 to the slope of the bottom surface of the shelving unit to eliminate the gap that may exist between the support surface 130 and the bottom surface of the shelving unit, which embodiment may be advantageous because the shelving unit can stably rest against the support surface 130, especially in case the bottom surface of the shelving unit is tilted. In some embodiments, the lifting mechanism 132 may also adjust the support surface 130 to the length of the bottom surface of the shelving unit. For example, the lifting mechanism 132 may project or retract one or more retractable portions of the support surface 130 to adjust the length of the support surface 130 relative to the length of the bottom surface of the shelving unit. As the shelving unit is situated on the support surface 130, the support surface 130 may support the shelving unit from underneath the shelving unit via the bottom surface of the shelving unit. The support surface 130 may also be extended along at least a portion of the bottom surface of the shelving unit, and such portion of the bottom surface of the shelving unit may satisfy a length threshold (e.g., at least 80% of the length of the shelving unit, etc.), which embodiment may be advantageous because it can improve the stability of the shelving unit on the support surface 130.
In some embodiments, when the shelving unit is situated on the support surface 130, the AGV controller 160 may detect the weight distribution of the shelving unit on the support surface 130 using the first sensor coupled to the first portion of the support surface 130 and the second sensor coupled to the second portion of the support surface 130. As discussed elsewhere herein, the first sensor may monitor the weight of the shelving unit applied to the first portion of the support surface 130, and the second sensor may monitor the weight of the shelving unit applied to the second portion of the support surface 130. The AGV controller 160 may detect the weight distribution of the shelving unit on the support surface 130 based on the weight of the shelving unit applied to these different portions. In some embodiments, to lift the shelving unit, the lifting mechanism 132 may actuate its motors to provide a first lifting force via the first portion of the support surface 130 and a second lifting force via the second portion of the support surface 130. The first lifting force and the second lifting force may vertically lift the shelving unit via the support surface 130 based on the weight distribution of the shelving unit on the support surface 130, as described in detail above. In some embodiments, the first lifting force may be directly proportional to the weight of the shelving unit applied to the first portion of the support surface 130, and the second lifting force may be directly proportional to the weight of the shelving unit applied to the second portion of the support surface 130. As a result, the first lifting force and the second lifting force may lift the shelving unit up in a balanced manner. In some embodiments, the first lifting force and the second lifting force may lift the shelving unit completely off the floor surface.
Continuing the example depicted in
In block 310, the shelf-transport AGV 100 may transport the shelving unit situated on the support surface 130 to the target position of the shelving unit in the operating environment. In some embodiments, in order to transport the shelving unit, responsive to the shelf-transport AGV 100 lifting the shelving unit up, the AGV controller 160 may actuate one or more power motors of the shelf-transport AGV 100 to start moving the shelf-transport AGV 100 at an initial acceleration rate satisfying an acceleration rate threshold (e.g., less than 0.5 m/s2). For instance, the shelf-transport AGV 100 may start moving slowly with the shelving unit situated on the support surface 130, thereby reducing the likelihood of the shelving unit being tipped over. In some embodiments, the AGV controller 160 may gradually increase the acceleration rate and/or the moving speed of the shelf-transport AGV 100 as the shelf-transport AGV 100 proceeds towards the target position of the shelving unit.
In some embodiments, the AGV controller 160 may monitor the weight distribution of the shelving unit on the support surface 130 during the transportation of the shelving unit, and flexibly adapt the first and/or second lifting forces and/or lifting heights to lift the shelving unit based on the changing weight distribution. As an example, the first sensor may detect that the weight of the shelving unit applied to the first portion 141 of the support surface 130 increases from 100 kg to 200 kg, and the second sensor may detect that the weight of the shelving unit applied to the second portion 143 of the support surface 130 decreases from 250 kg to 150 kg (e.g., due to an incline of the shelving unit towards the first end of the support surface 130 that is proximate to the first portion 141). In this example, the lifting mechanism 132 may actuate its motors to increase the first lifting force provided via the first portion 141 of the support surface 130, and decrease the second lifting force provided via the second portion 143 of the support surface 130, thereby regaining the balance of the shelving unit on the support surface 130. In some embodiments, the lifting mechanism 132 may adjust the first lifting force proportionally to the weight of the shelving unit currently applied to the first portion 141 of the support surface 130 (e.g., 200 kg), and adjust the second lifting force proportionally to the weight of the shelving unit currently applied to the second portion 143 of the support surface 130 (e.g., 150 kg).
In some embodiments, to transport the shelving unit, the guidance unit may navigate the shelf-transport AGV 100 to the target position of the shelving unit in the operating environment from the second position at which the shelf-transport AGV 100 lifts the shelving unit up. In some embodiments, the guidance unit may reference the map of the operating environment (e.g., the facility map of the storage facility), and determine a navigation path from the second position to the target position. To follow the navigation path to the target position, the reader device 174 may detect the graphic markers on the floor surface as the shelf-transport AGV 100 proceeds in the operating environment. The guidance unit may map these graphic markers to the navigation path, generate navigating instructions to follow the navigation path, and provide the navigating instructions to the drive unit. The drive unit may actuate its power motors and/or its driving actuators to move the shelf-transport AGV 100 based on the navigating instructions. As a result, the shelf-transport AGV 100 may follow the navigation path to transport the shelving unit situated on the support surface 130 from the second position to the target position of the shelving unit. Other implementations for navigating the shelf-transport AGV 100 to the target position of the shelving unit are also possible and contemplated.
In some embodiments, as the shelf-transport AGV 100 proceeds towards the target position of the shelving unit, the indicator 120 may project one or more signals that indicate the presence and/or the operation performed by the shelf-transport AGV 100 to other entities located proximate to the shelf-transport AGV 100 in the operating environment. For example, the indicator 120 may emit different light signals in different light colors depending on the operation currently performed by the shelf-transport AGV 100 (e.g., slowing down, speeding up, turning left, turning right, etc.), which embodiment may be advantageous because it enables the human workers and other AGVs located nearby to be aware of the shelf-transport AGV 100 and the operations performed by the shelf-transport AGV 100, especially in case the low-elevated and elongated body of the shelf-transport AGV 100, which may not be visible due to the shelving unit situated on the support surface 130 of the shelf-transport AGV 100.
Continuing the example depicted in
In block 312, the guidance unit may determine that the shelf-transport AGV 100 reached the target position of the shelving unit. In some embodiments, the reader device 174 may detect a graphic marker on the floor surface. The guidance unit may map this graphic marker to the navigation path, determine that this graphic marker corresponds to the target position of the shelving unit, and thus determine that the shelf-transport AGV 100 reached the target position to which the shelving unit is transported. The drive unit may then stop the shelf-transport AGV 100 at the target position of the shelving unit.
In block 314, responsive to determining that the shelf-transport AGV 100 reached the target position of the shelving unit, the shelf-transport AGV 100 may lower the shelving unit from the elevated position to place the shelving unit at the target position of the shelving unit. In some embodiments, to lower the shelving unit, the lifting mechanism 132 may actuate its motors to lower the support surface 130 on which the shelving unit is situated from the elevated position to the position at which the shelving unit comes into contact with the floor surface (e.g., ground floor, vehicle floor, etc.). As a result, the shelving unit is placed on the floor surface at the target position of the shelving unit, and thus the transportation of the shelving unit to its target position is completed. In some embodiments, once the lifting mechanism 132 lowers the support surface 130 to the position at which the shelving unit comes into contact with the floor surface, the lifting mechanism 132 may further lower the support surface 130 to the position at which the clearance space between the bottom surface of the shelving unit and the shelf-transport AGV 100 satisfies a clearance threshold (e.g., more than 1 cm), which may allow the shelf-transport AGV 100 to safely relocate out of the space underneath the shelving unit.
Continuing the example depicted in
In some embodiments, once the shelf-transport AGV 100 transports the shelving unit to the target position of the shelving unit, one or more other AGVs in the operating environment may relocate towards the shelving unit that is placed at its target position and unload one or more containers from the shelving unit. As depicted in the stage 470 illustrated in
It should be understood that the shelf-transport AGV 100 can advantageously transport the shelving unit in any operating environment. For example, the shelf-transport AGV 100 may perform the method 300 described above with reference to
It should be noted that the components described herein may be further delineated or changed without departing from the techniques described herein. For example, the processes described throughout this disclosure may be performed by fewer, additional, or different components.
It should be understood that the methods described herein are provided by way of example, and that variations and combinations of these methods, as well as other methods, are contemplated. For example, in some implementations, at least a portion of one or more of the methods represent various segments of one or more larger methods and may be concatenated or various steps of these methods may be combined to produce other methods which are encompassed by the present disclosure. Additionally, it should be understood that various operations in the methods are iterative, and thus repeated as many times as necessary generate the results described herein. Further the ordering of the operations in the methods is provided by way of example and it should be understood that various operations may occur earlier and/or later in the method without departing from the scope thereof.
In the above description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the present disclosure. However, it should be understood that the technology described herein can be practiced without these specific details in various cases. Further, various systems, devices, and structures are shown in block diagram form in order to avoid obscuring the description. For instance, various implementations are described as having particular hardware, software, and user interfaces. However, the present disclosure applies to any type of computing device that can receive data and commands, and to any peripheral devices providing services.
In some instances, various implementations may be presented herein in terms of algorithms and symbolic representations of operations on data bits within a computer memory. An algorithm is here, and generally, conceived to be a self-consistent set of operations leading to a desired result. The operations are those requiring physical manipulations of physical quantities. Usually, though not necessarily, these quantities take the form of electrical or magnetic signals capable of being stored, transferred, combined, compared, and otherwise manipulated. It has proven convenient at times, principally for reasons of common usage, to refer to these signals as bits, values, elements, symbols, characters, terms, numbers, or the like.
It should be borne in mind, however, that all of these and similar terms are to be associated with the appropriate physical quantities and are merely convenient labels applied to these quantities. Unless specifically stated otherwise as apparent from the following discussion, it is appreciated that throughout this disclosure, discussions utilizing terms such as “processing,” “computing,” “calculating,” “determining,” “displaying,” or the like, refer to the action and methods of a computer system that manipulates and transforms data represented as physical (electronic) quantities within the computer system's registers and memories into other data similarly represented as physical quantities within the computer system memories or registers or other such information storage, transmission or display devices.
A data processing system suitable for storing and/or executing program code, such as the computing system and/or devices discussed herein, may include at least one processor coupled directly or indirectly to memory elements through a system bus. The memory elements can include local memory employed during actual execution of the program code, bulk storage, and cache memories that provide temporary storage of at least some program code in order to reduce the number of times code must be retrieved from bulk storage during execution. Input and/or output devices can be coupled to the system either directly or through intervening I/O controllers. The data processing system may include an apparatus may be specially constructed for the required purposes, or it may comprise a general-purpose computer selectively activated or reconfigured by a computer program stored in the computer.
The foregoing description has been presented for the purposes of illustration and description. It is not intended to be exhaustive or to limit the specification to the precise form disclosed. Many modifications and variations are possible in light of the above teaching. It is intended that the scope of the disclosure be limited not by this detailed description, but rather by the claims of this application. As will be understood by those familiar with the art, the specification may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. Likewise, the particular naming and division of the modules, routines, features, attributes, methodologies and other aspects may not be mandatory or significant, and the mechanisms that implement the specification or its features may have different names, divisions, and/or formats.
Furthermore, the modules, routines, features, attributes, methodologies and other aspects of the disclosure can be implemented as software, hardware, firmware, or any combination of the foregoing. The technology can also take the form of a computer program product accessible from a computer-usable or computer-readable medium providing program code for use by or in connection with a computer or any instruction execution system. Wherever a component, an example of which is a module or engine, of the specification is implemented as software, the component can be implemented as a standalone program, as part of a larger program, as a plurality of separate programs, as a statically or dynamically linked library, as a kernel loadable module, as firmware, as resident software, as microcode, as a device driver, and/or in every and any other way known now or in the future. Additionally, the disclosure is in no way limited to implementation in any specific programming language, or for any specific operating system or environment. Accordingly, the disclosure is intended to be illustrative, but not limiting, of the scope of the subject matter set forth in the following claims.
Number | Name | Date | Kind |
---|---|---|---|
3450276 | Ferrari | Jun 1969 | A |
3474877 | Wesener | Oct 1969 | A |
3628624 | Wesener | Dec 1971 | A |
3970840 | De Bruine | Jul 1976 | A |
4010409 | Waites | Mar 1977 | A |
4215759 | Diaz | Aug 1980 | A |
4258813 | Rubel | Mar 1981 | A |
4278142 | Kono | Jul 1981 | A |
4465155 | Collins | Aug 1984 | A |
4496274 | Pipes | Jan 1985 | A |
4524314 | Walker | Jun 1985 | A |
4530056 | MacKinnon et al. | Jul 1985 | A |
4556940 | Katoo et al. | Dec 1985 | A |
4562635 | Carter | Jan 1986 | A |
4566032 | Hirooka et al. | Jan 1986 | A |
4593238 | Yamamoto | Jun 1986 | A |
4593239 | Yamamoto | Jun 1986 | A |
4652803 | Kamejima et al. | Mar 1987 | A |
4653002 | Barry | Mar 1987 | A |
4657463 | Pipes | Apr 1987 | A |
4678390 | Bonneton et al. | Jul 1987 | A |
4700302 | Arakawa et al. | Oct 1987 | A |
4711316 | Katou et al. | Dec 1987 | A |
4714399 | Olson | Dec 1987 | A |
4716530 | Ogawa et al. | Dec 1987 | A |
4727492 | Reeve et al. | Feb 1988 | A |
4742283 | Bolger et al. | May 1988 | A |
4751983 | Leskovec et al. | Jun 1988 | A |
4764078 | Neri | Aug 1988 | A |
4772832 | Okazaki et al. | Sep 1988 | A |
4773018 | Lundstrom | Sep 1988 | A |
4777601 | Boegli | Oct 1988 | A |
4780817 | Lofgren | Oct 1988 | A |
4790402 | Field et al. | Dec 1988 | A |
4802096 | Hainsworth et al. | Jan 1989 | A |
4811227 | Wikstrom | Mar 1989 | A |
4811229 | Wilson | Mar 1989 | A |
4817000 | Eberhardt | Mar 1989 | A |
4846297 | Field et al. | Jul 1989 | A |
4847769 | Reeve | Jul 1989 | A |
4847773 | van Helsdingen et al. | Jul 1989 | A |
4847774 | Tomikawa et al. | Jul 1989 | A |
4852677 | Okazaki | Aug 1989 | A |
4857912 | Everett, Jr. et al. | Aug 1989 | A |
4858132 | Holmquist | Aug 1989 | A |
4862047 | Suzuki et al. | Aug 1989 | A |
4863335 | Herigstad et al. | Sep 1989 | A |
4875172 | Kanayama | Oct 1989 | A |
4890233 | Ando et al. | Dec 1989 | A |
4918607 | Wible | Apr 1990 | A |
4924153 | Toru et al. | May 1990 | A |
4926544 | Koyanagi et al. | May 1990 | A |
4935871 | Grohsmeyer | Jun 1990 | A |
4939650 | Nishikawa | Jul 1990 | A |
4939651 | Onishi | Jul 1990 | A |
4942531 | Hainsworth et al. | Jul 1990 | A |
4947324 | Kamimura et al. | Aug 1990 | A |
4950118 | Mueller et al. | Aug 1990 | A |
4954962 | Evans, Jr. et al. | Sep 1990 | A |
4982329 | Tabata et al. | Jan 1991 | A |
4990841 | Elder | Feb 1991 | A |
4993507 | Ohkura | Feb 1991 | A |
4994970 | Noji et al. | Feb 1991 | A |
4996468 | Field et al. | Feb 1991 | A |
5000279 | Kondo et al. | Mar 1991 | A |
5002145 | Wakaumi et al. | Mar 1991 | A |
5005128 | Robins et al. | Apr 1991 | A |
5006988 | Borenstein et al. | Apr 1991 | A |
5020620 | Field | Jun 1991 | A |
5023790 | Luke, Jr. | Jun 1991 | A |
5040116 | Evans, Jr. et al. | Aug 1991 | A |
5052882 | Blau et al. | Oct 1991 | A |
5053969 | Booth | Oct 1991 | A |
5073749 | Kanayama | Dec 1991 | A |
5109940 | Yardley | May 1992 | A |
5111401 | Everett, Jr. et al. | May 1992 | A |
5125783 | Kawasoe et al. | Jun 1992 | A |
5134353 | Kita et al. | Jul 1992 | A |
5138560 | Lanfer et al. | Aug 1992 | A |
5154249 | Yardley | Oct 1992 | A |
5164648 | Kita et al. | Nov 1992 | A |
5170351 | Nemoto et al. | Dec 1992 | A |
5170352 | McTamaney et al. | Dec 1992 | A |
5179329 | Nishikawa et al. | Jan 1993 | A |
5187664 | Yardley et al. | Feb 1993 | A |
5191528 | Yardley et al. | Mar 1993 | A |
5192903 | Kita et al. | Mar 1993 | A |
5199524 | Ivancic | Apr 1993 | A |
5202832 | Lisy | Apr 1993 | A |
5211523 | Andrada Galan et al. | May 1993 | A |
5213176 | Oroku | May 1993 | A |
5216605 | Yardley et al. | Jun 1993 | A |
5239249 | Ono | Aug 1993 | A |
5249157 | Taylor | Sep 1993 | A |
5281901 | Yardley et al. | Jan 1994 | A |
5305217 | Nakamura et al. | Apr 1994 | A |
5341130 | Yardley et al. | Aug 1994 | A |
5387853 | Ono | Feb 1995 | A |
5488277 | Nishikawa et al. | Jan 1996 | A |
5510984 | Markin et al. | Apr 1996 | A |
5525884 | Sugiura et al. | Jun 1996 | A |
5545960 | Ishikawa | Aug 1996 | A |
5548512 | Quraishi | Aug 1996 | A |
5564890 | Knudsen, Jr. | Oct 1996 | A |
5568030 | Nishikawa et al. | Oct 1996 | A |
5650703 | Yardley et al. | Jul 1997 | A |
5669748 | Knudsen, Jr. | Sep 1997 | A |
5875408 | Bendett et al. | Feb 1999 | A |
5911767 | Garibotto et al. | Jun 1999 | A |
5923270 | Sampo et al. | Jul 1999 | A |
5961559 | Shimbara et al. | Oct 1999 | A |
6049745 | Douglas et al. | Apr 2000 | A |
6058339 | Takiguchi et al. | May 2000 | A |
6092010 | Alofs et al. | Jul 2000 | A |
6246930 | Hori | Jun 2001 | B1 |
6256560 | Kim et al. | Jul 2001 | B1 |
6345217 | Zeitler et al. | Feb 2002 | B1 |
6370452 | Pfister | Apr 2002 | B1 |
6377888 | Olch | Apr 2002 | B1 |
6459966 | Nakano et al. | Oct 2002 | B2 |
6477463 | Hamilton | Nov 2002 | B2 |
6493614 | Jung | Dec 2002 | B1 |
6602037 | Winkler | Aug 2003 | B2 |
6615108 | Peless et al. | Sep 2003 | B1 |
6629028 | Paromtchik et al. | Sep 2003 | B2 |
6654647 | Kal | Nov 2003 | B1 |
6721638 | Zeitler | Apr 2004 | B2 |
6748292 | Mountz | Jun 2004 | B2 |
6772062 | Lasky et al. | Aug 2004 | B2 |
6882910 | Jeong | Apr 2005 | B2 |
6885912 | Peless et al. | Apr 2005 | B2 |
6895301 | Mountz | May 2005 | B2 |
6904343 | Kang | Jun 2005 | B2 |
6950722 | Mountz | Sep 2005 | B2 |
6971464 | Marino et al. | Dec 2005 | B2 |
7050891 | Chen | May 2006 | B2 |
7110855 | Leishman | Sep 2006 | B2 |
7155309 | Peless et al. | Dec 2006 | B2 |
7305287 | Park | Dec 2007 | B2 |
7333631 | Roh et al. | Feb 2008 | B2 |
7349759 | Peless et al. | Mar 2008 | B2 |
7402018 | Mountz et al. | Jul 2008 | B2 |
7403120 | Duron et al. | Jul 2008 | B2 |
7437226 | Roh et al. | Oct 2008 | B2 |
7460016 | Sorenson, Jr. et al. | Dec 2008 | B2 |
7505849 | Saarikivi | Mar 2009 | B2 |
7548166 | Roeder et al. | Jun 2009 | B2 |
7557714 | Roeder et al. | Jul 2009 | B2 |
7609175 | Porte et al. | Oct 2009 | B2 |
7613617 | Williams et al. | Nov 2009 | B2 |
7616127 | Sorenson, Jr. et al. | Nov 2009 | B2 |
7634332 | Williams et al. | Dec 2009 | B2 |
7639142 | Roeder et al. | Dec 2009 | B2 |
7648329 | Chilson et al. | Jan 2010 | B2 |
7656296 | Runyon et al. | Feb 2010 | B2 |
7681796 | Cato et al. | Mar 2010 | B2 |
7689001 | Kim et al. | Mar 2010 | B2 |
7693757 | Zimmerman | Apr 2010 | B2 |
7765027 | Hong et al. | Jul 2010 | B2 |
7826919 | DAndrea et al. | Nov 2010 | B2 |
7835821 | Roh et al. | Nov 2010 | B2 |
7840328 | Baginski et al. | Nov 2010 | B2 |
7845560 | Emanuel et al. | Dec 2010 | B2 |
7850413 | Fontana | Dec 2010 | B2 |
7873469 | DAndrea et al. | Jan 2011 | B2 |
7890228 | Redmann, Jr. et al. | Feb 2011 | B2 |
7894932 | Mountz et al. | Feb 2011 | B2 |
7894933 | Mountz et al. | Feb 2011 | B2 |
7894939 | Zini et al. | Feb 2011 | B2 |
7894951 | Norris et al. | Feb 2011 | B2 |
7912574 | Wurman et al. | Mar 2011 | B2 |
7912633 | Dietsch et al. | Mar 2011 | B1 |
7920962 | DAndrea et al. | Apr 2011 | B2 |
7925514 | Williams et al. | Apr 2011 | B2 |
7953551 | Park et al. | May 2011 | B2 |
7980808 | Chilson et al. | Jul 2011 | B2 |
7991521 | Stewart | Aug 2011 | B2 |
7996109 | Zini et al. | Aug 2011 | B2 |
8010230 | Zini et al. | Aug 2011 | B2 |
8020657 | Allard et al. | Sep 2011 | B2 |
8031086 | Thacher et al. | Oct 2011 | B2 |
8068978 | DAndrea et al. | Nov 2011 | B2 |
8072309 | Kraimer et al. | Dec 2011 | B2 |
8075243 | Chilson et al. | Dec 2011 | B2 |
8146702 | Schendel et al. | Apr 2012 | B2 |
8160728 | Curtis | Apr 2012 | B2 |
8170711 | DAndrea et al. | May 2012 | B2 |
8192137 | Ross et al. | Jun 2012 | B2 |
8193903 | Kraimer et al. | Jun 2012 | B2 |
8196835 | Emanuel et al. | Jun 2012 | B2 |
8200423 | Dietsch et al. | Jun 2012 | B2 |
8204624 | Zini et al. | Jun 2012 | B2 |
8210791 | Chilson et al. | Jul 2012 | B2 |
8220710 | Hoffman et al. | Jul 2012 | B2 |
8229619 | Roh et al. | Jul 2012 | B2 |
8239291 | Hoffman et al. | Aug 2012 | B2 |
8265873 | DAndrea et al. | Sep 2012 | B2 |
8269643 | Chou | Sep 2012 | B2 |
8271132 | Nielsen et al. | Sep 2012 | B2 |
8280546 | DAndrea et al. | Oct 2012 | B2 |
8280547 | DAndrea et al. | Oct 2012 | B2 |
8311902 | Mountz et al. | Nov 2012 | B2 |
8369981 | Dunsker et al. | Feb 2013 | B2 |
8381982 | Kunzig et al. | Feb 2013 | B2 |
8406949 | Kondo | Mar 2013 | B2 |
8412400 | DAndrea et al. | Apr 2013 | B2 |
8417444 | Smid et al. | Apr 2013 | B2 |
8418919 | Beyda | Apr 2013 | B1 |
8433442 | Friedman et al. | Apr 2013 | B2 |
8433469 | Harvey et al. | Apr 2013 | B2 |
8444369 | Watt et al. | May 2013 | B2 |
8452464 | Castaneda et al. | May 2013 | B2 |
8457978 | Williams et al. | Jun 2013 | B2 |
8473140 | Norris et al. | Jun 2013 | B2 |
8483869 | Wurman et al. | Jul 2013 | B2 |
8498734 | Dunsker et al. | Jul 2013 | B2 |
8515612 | Tanaka et al. | Aug 2013 | B2 |
8538692 | Wurman et al. | Sep 2013 | B2 |
8571781 | Bernstein et al. | Oct 2013 | B2 |
8577551 | Siefring et al. | Nov 2013 | B2 |
8587455 | Porte et al. | Nov 2013 | B2 |
8594834 | Clark et al. | Nov 2013 | B1 |
8606392 | Wurman et al. | Dec 2013 | B2 |
8626332 | Dunsker et al. | Jan 2014 | B2 |
8626335 | Wurman et al. | Jan 2014 | B2 |
8639382 | Clark et al. | Jan 2014 | B1 |
8649899 | Wurman et al. | Feb 2014 | B2 |
8653945 | Baek et al. | Feb 2014 | B2 |
8670892 | Yang | Mar 2014 | B2 |
8676426 | Murphy | Mar 2014 | B1 |
8700502 | Mountz et al. | Apr 2014 | B2 |
8718814 | Clark et al. | May 2014 | B1 |
8725286 | DAndrea et al. | May 2014 | B2 |
8725317 | Elston et al. | May 2014 | B2 |
8725362 | Elston et al. | May 2014 | B2 |
8725363 | Elston et al. | May 2014 | B2 |
8731777 | Castaneda et al. | May 2014 | B2 |
8751063 | Bernstein et al. | Jun 2014 | B2 |
8751147 | Colwell | Jun 2014 | B2 |
8755936 | Friedman et al. | Jun 2014 | B2 |
8760276 | Yamazato | Jun 2014 | B2 |
8761989 | Murphy | Jun 2014 | B1 |
8788121 | Klinger | Jul 2014 | B2 |
8798784 | Clark et al. | Aug 2014 | B1 |
8798786 | Wurman et al. | Aug 2014 | B2 |
8798840 | Fong et al. | Aug 2014 | B2 |
8805573 | Brunner et al. | Aug 2014 | B2 |
8805574 | Stevens et al. | Aug 2014 | B2 |
8825257 | Ozaki et al. | Sep 2014 | B2 |
8831984 | Hoffman et al. | Sep 2014 | B2 |
8862397 | Tsujimoto et al. | Oct 2014 | B2 |
8874300 | Allard et al. | Oct 2014 | B2 |
8874360 | Klinger et al. | Oct 2014 | B2 |
8880416 | Williams et al. | Nov 2014 | B2 |
8886385 | Takahashi et al. | Nov 2014 | B2 |
8892240 | Vliet et al. | Nov 2014 | B1 |
8892241 | Weiss | Nov 2014 | B2 |
8909368 | DAndrea et al. | Dec 2014 | B2 |
8930133 | Wurman et al. | Jan 2015 | B2 |
8948956 | Takahashi et al. | Feb 2015 | B2 |
8954188 | Sullivan et al. | Feb 2015 | B2 |
8965561 | Jacobus et al. | Feb 2015 | B2 |
8965562 | Wurman et al. | Feb 2015 | B1 |
8965578 | Versteeg et al. | Feb 2015 | B2 |
8970363 | Kraimer et al. | Mar 2015 | B2 |
8972045 | Mountz et al. | Mar 2015 | B1 |
8983647 | Dwarakanath et al. | Mar 2015 | B1 |
8988285 | Smid et al. | Mar 2015 | B2 |
8989918 | Sturm | Mar 2015 | B2 |
9002506 | Agarwal et al. | Apr 2015 | B1 |
9002581 | Castaneda et al. | Apr 2015 | B2 |
9008827 | Dwarakanath et al. | Apr 2015 | B1 |
9008828 | Worsley | Apr 2015 | B2 |
9008829 | Worsley | Apr 2015 | B2 |
9008830 | Worsley | Apr 2015 | B2 |
9009072 | Mountz et al. | Apr 2015 | B2 |
9014902 | Murphy | Apr 2015 | B1 |
9020679 | Zini et al. | Apr 2015 | B2 |
9026301 | Zini et al. | May 2015 | B2 |
9043016 | Filippov et al. | May 2015 | B2 |
9046893 | Douglas et al. | Jun 2015 | B2 |
9052714 | Creasey et al. | Jun 2015 | B2 |
9056719 | Tanahashi | Jun 2015 | B2 |
9067317 | Wurman et al. | Jun 2015 | B1 |
9073736 | Hussain et al. | Jul 2015 | B1 |
9082293 | Wellman et al. | Jul 2015 | B2 |
9087314 | Hoffman et al. | Jul 2015 | B2 |
9090214 | Bernstein et al. | Jul 2015 | B2 |
9090400 | Wurman et al. | Jul 2015 | B2 |
9098080 | Norris et al. | Aug 2015 | B2 |
9110464 | Holland et al. | Aug 2015 | B2 |
9111251 | Brazeau | Aug 2015 | B1 |
9114838 | Bernstein et al. | Aug 2015 | B2 |
9120621 | Curlander et al. | Sep 2015 | B1 |
9120622 | Elazary et al. | Sep 2015 | B1 |
9122276 | Kraimer et al. | Sep 2015 | B2 |
9129250 | Sestini et al. | Sep 2015 | B1 |
9134734 | Lipkowski et al. | Sep 2015 | B2 |
9146559 | Kuss et al. | Sep 2015 | B2 |
9147173 | Jones et al. | Sep 2015 | B2 |
9150263 | Bernstein et al. | Oct 2015 | B2 |
9152149 | Palamarchuk et al. | Oct 2015 | B1 |
9185998 | Dwarakanath et al. | Nov 2015 | B1 |
9188982 | Thomson | Nov 2015 | B2 |
9193404 | Bernstein et al. | Nov 2015 | B2 |
9202382 | Klinger et al. | Dec 2015 | B2 |
9206023 | Wong et al. | Dec 2015 | B2 |
9207673 | Pulskamp et al. | Dec 2015 | B2 |
9207676 | Wu et al. | Dec 2015 | B2 |
9211920 | Bernstein et al. | Dec 2015 | B1 |
9213934 | Versteeg et al. | Dec 2015 | B1 |
9216745 | Beardsley et al. | Dec 2015 | B2 |
9218003 | Fong et al. | Dec 2015 | B2 |
9218316 | Bernstein et al. | Dec 2015 | B2 |
9242799 | OBrien et al. | Jan 2016 | B1 |
9244463 | Pfaff et al. | Jan 2016 | B2 |
9248973 | Brazeau | Feb 2016 | B1 |
9260244 | Cohn | Feb 2016 | B1 |
9266236 | Clark et al. | Feb 2016 | B2 |
9268334 | Vavrick | Feb 2016 | B1 |
9274526 | Murai et al. | Mar 2016 | B2 |
9280153 | Palamarchuk et al. | Mar 2016 | B1 |
9280157 | Wurman et al. | Mar 2016 | B2 |
9290220 | Bernstein et al. | Mar 2016 | B2 |
9304001 | Park et al. | Apr 2016 | B2 |
9310802 | Elkins et al. | Apr 2016 | B1 |
9317034 | Hoffman et al. | Apr 2016 | B2 |
9329078 | Mundhenke et al. | May 2016 | B1 |
9329599 | Sun et al. | May 2016 | B1 |
9330373 | Mountz et al. | May 2016 | B2 |
9341720 | Garin et al. | May 2016 | B2 |
9342811 | Mountz et al. | May 2016 | B2 |
9346619 | OBrien et al. | May 2016 | B1 |
9346620 | Brunner et al. | May 2016 | B2 |
9352745 | Theobald | May 2016 | B1 |
9355065 | Donahue | May 2016 | B2 |
9365348 | Agarwal et al. | Jun 2016 | B1 |
9367827 | Lively et al. | Jun 2016 | B1 |
9367831 | Besehanic | Jun 2016 | B1 |
9371184 | Dingle et al. | Jun 2016 | B1 |
9378482 | Pikler et al. | Jun 2016 | B1 |
9389609 | Mountz et al. | Jul 2016 | B1 |
9389612 | Bernstein et al. | Jul 2016 | B2 |
9389614 | Shani | Jul 2016 | B2 |
9394016 | Bernstein et al. | Jul 2016 | B2 |
9395725 | Bernstein et al. | Jul 2016 | B2 |
9404756 | Fong et al. | Aug 2016 | B2 |
9405016 | Yim | Aug 2016 | B2 |
9427874 | Rublee | Aug 2016 | B1 |
9429940 | Bernstein et al. | Aug 2016 | B2 |
9429944 | Filippov et al. | Aug 2016 | B2 |
9436184 | DAndrea et al. | Sep 2016 | B2 |
9440790 | Mountz et al. | Sep 2016 | B2 |
9448560 | DAndrea et al. | Sep 2016 | B2 |
9451020 | Liu et al. | Sep 2016 | B2 |
9452883 | Wurman et al. | Sep 2016 | B1 |
9457730 | Bernstein et al. | Oct 2016 | B2 |
9823662 | Mecklinger | Nov 2017 | B2 |
10328836 | Purwin | Jun 2019 | B2 |
10589940 | Yang | Mar 2020 | B2 |
10627829 | Lin | Apr 2020 | B2 |
10628790 | Aggarwal | Apr 2020 | B1 |
20060245893 | Schottke | Nov 2006 | A1 |
20100300841 | OBrien | Dec 2010 | A1 |
20120321423 | MacKnight et al. | Dec 2012 | A1 |
20130058743 | Rebstock | Mar 2013 | A1 |
20130302132 | DAndrea | Nov 2013 | A1 |
20140124462 | Yamashita | May 2014 | A1 |
20140247116 | Davidson | Sep 2014 | A1 |
20150073589 | Khodl et al. | Mar 2015 | A1 |
20150117995 | DAndrea | Apr 2015 | A1 |
20150125252 | Berzen Ratzel | May 2015 | A1 |
20150307278 | Wickham et al. | Oct 2015 | A1 |
20160090283 | Svensson | Mar 2016 | A1 |
20160176637 | Ackerman et al. | Jun 2016 | A1 |
20160203543 | Snow | Jul 2016 | A1 |
20160232477 | Cortes et al. | Aug 2016 | A1 |
20160347545 | Lindbo et al. | Dec 2016 | A1 |
20170043953 | Battles et al. | Feb 2017 | A1 |
20170174431 | Borders et al. | Jun 2017 | A1 |
20170182924 | Lendo | Jun 2017 | A1 |
20180141752 | Nakanishi | May 2018 | A1 |
20180208398 | Haveman | Jul 2018 | A1 |
20190016573 | D'Andrea | Jan 2019 | A1 |
20200103916 | Tu | Apr 2020 | A1 |
Number | Date | Country |
---|---|---|
1196712 | Nov 1985 | CA |
1210367 | Aug 1986 | CA |
1228142 | Oct 1987 | CA |
1238103 | Jun 1988 | CA |
1264490 | Jan 1990 | CA |
1267866 | Apr 1990 | CA |
1269740 | May 1990 | CA |
1271544 | Jul 1990 | CA |
1275721 | Oct 1990 | CA |
1276264 | Nov 1990 | CA |
2029773 | May 1991 | CA |
1291725 | Nov 1991 | CA |
2036104 | Nov 1991 | CA |
2042133 | Jan 1992 | CA |
2049578 | Feb 1992 | CA |
2296837 | Feb 1992 | CA |
2094833 | Apr 1992 | CA |
1304043 | Jun 1992 | CA |
2095442 | Jun 1992 | CA |
1304820 | Jul 1992 | CA |
1323084 | Oct 1993 | CA |
2189853 | Nov 1995 | CA |
2244668 | Mar 1999 | CA |
2469652 | Jun 2003 | CA |
2514523 | Aug 2004 | CA |
2565553 | Nov 2005 | CA |
2577346 | Apr 2006 | CA |
2613180 | Jan 2007 | CA |
2921584 | Jan 2007 | CA |
2625885 | Apr 2007 | CA |
2625895 | Apr 2007 | CA |
2837477 | Apr 2007 | CA |
2864027 | Apr 2007 | CA |
2636233 | Jul 2007 | CA |
2640769 | Aug 2007 | CA |
2652114 | Dec 2007 | CA |
2654258 | Dec 2007 | CA |
2654260 | Dec 2007 | CA |
2654263 | Dec 2007 | CA |
2654295 | Dec 2007 | CA |
2654336 | Dec 2007 | CA |
2654471 | Dec 2007 | CA |
2748398 | Dec 2007 | CA |
2748407 | Dec 2007 | CA |
2750043 | Dec 2007 | CA |
2781624 | Dec 2007 | CA |
2781857 | Dec 2007 | CA |
2838044 | Dec 2007 | CA |
2866664 | Dec 2007 | CA |
2921134 | Dec 2007 | CA |
2663578 | Apr 2008 | CA |
2860745 | Apr 2008 | CA |
2671955 | Jul 2008 | CA |
2673025 | Jul 2008 | CA |
2674241 | Jul 2008 | CA |
2691710 | Dec 2008 | CA |
2721345 | Oct 2009 | CA |
2760127 | Nov 2009 | CA |
2760225 | Nov 2009 | CA |
2743706 | Jun 2010 | CA |
2754626 | Sep 2010 | CA |
2765565 | Jan 2011 | CA |
2932535 | Jan 2011 | CA |
2932537 | Jan 2011 | CA |
2770139 | Feb 2011 | CA |
2773963 | Mar 2011 | CA |
2778111 | May 2011 | CA |
2784874 | Jul 2011 | CA |
2868578 | Jul 2011 | CA |
2806852 | Feb 2012 | CA |
2823715 | Jul 2012 | CA |
2827281 | Aug 2012 | CA |
2827735 | Aug 2012 | CA |
2770715 | Sep 2012 | CA |
2770918 | Sep 2012 | CA |
2831832 | Oct 2012 | CA |
2836933 | Dec 2012 | CA |
2851774 | Apr 2013 | CA |
2799871 | Jun 2013 | CA |
2866708 | Sep 2013 | CA |
2938894 | Sep 2013 | CA |
2813874 | Dec 2013 | CA |
2824189 | Feb 2014 | CA |
2870381 | Apr 2014 | CA |
2935223 | Apr 2014 | CA |
2894546 | Jun 2014 | CA |
2845229 | Sep 2014 | CA |
2899553 | Oct 2014 | CA |
2882452 | Aug 2015 | CA |
2886121 | Oct 2015 | CA |
2012154872 | Nov 2012 | WO |
2016015000 | Jan 2016 | WO |
Entry |
---|
US 7,460,017 B2, 12/2008, Roeder et al. (withdrawn) |
US 9,050,932 B2, 06/2015, Bernstein et al. (withdrawn) |
US 9,342,073 B2, 05/2016, Bernstein et al. (withdrawn) |
Warehouse Robots at Work, IEEE Spectrum,. Jul. 21, 2008, YouTube https://www.youtube.com/watch?v=IWsMdN7HMuA. |
International Search Report and Written Opinion, PCT/US2017/054627, dated Jan. 5, 2018 (15 pages). |
International Search Report and Written Opinion, PCT/US2018/012645, dated Mar. 7, 2018 (13 pages). |
International Search Report and Written Opinion, PCT/US2018/012641, dated Mar. 7, 2018 (17 pages). |
Number | Date | Country | |
---|---|---|---|
62715755 | Aug 2018 | US |