A multiaxial robot of multitasking includes a base, a plurality of arms, at least one wrist, a first engaging structure, and a second engaging structure. The arms are sequentially connected from the base, and any adjacent two of the base and the arms are configured to rotate relative to each other. The wrist is connected to the farthest arm arranged relative to the base and configured to rotate relative to the connected arm. The first engaging structure is disposed on the wrist and configured to connect a first tool. The second engaging structure is disposed on one of the arms and configured to connect a second tool.

A controller of the robot apparatus performs approaching control for making a second workpiece approach a first workpiece and position adjustment control for adjusting a position of the second workpiece with respect to a position of the first workpiece. The approaching control includes control for calculating a movement direction and a movement amount of a position of the robot based on an image captured by a first camera, and making the second workpiece approach the first workpiece. The position adjustment control includes control for calculating a movement direction and a movement amount of a position of the robot based on an image captured by the first camera and an image captured by the second camera, and precisely adjusting a position of the first workpiece with respect to the second workpiece.

A system and method for estimating aspects of target objects and/or associated task implementations is disclosed.

A system and method for determining a misdetection of an object and subsequent response is disclosed. A robotic system may use a motion plan, which is derived based on an initial detection result of a package, to transfer the package from a start location to a task location. During implementation of the motion plan, the robotic system may obtain additional sensor data, which can be used to deviate from the initial motion plan and implement a replacement motion plan to transfer the package to the task location.

A de-palletizing system comprises a three-dimensional scanner; a robotic arm; and a control unit connected to the three-dimensional scanner and the robotic arm. The three-dimensional scanner takes a picture of a top layer of a pallet and transmits picture data to the control unit. The control unit is configured to receive the picture data from the three-dimensional scanner, process the picture data to create a depth map of the individual products and determine locations of individual products, and control the robotic arm to move a product grouping from a pick up location to a product drop off location.

A digital twin modeling method to assemble a robotic teleoperation environment, including: capturing images of the teleoperation environment; identifying a part being assembled; querying the assembly assembling order to obtain a list of assembled parts according to the part being assembled; generating a three-dimensional model of the current assembly from the list and calculating position pose information of the current assembly in an image acquisition device coordinate system; loading a three-dimensional model of the robot, determining a coordinate transformation relationship between a robot coordinate system and an image acquisition device coordinate system; determining position pose information of the robot in an image acquisition device coordinate system from the coordinate transformation relationship; determining a relative positional relationship between the current assembly and the robot from position pose information of the current assembly and the robot in an image acquisition device coordinate system; establishing a digital twin model of the teleoperation environment.

A wiring harness assembly cell includes an automation zone housing a robot for performing automated assembly operations on a series of wiring harness assembly boards. A plurality of wiring harness assembly stations is located about the automation zone, each including one or more wiring harness assembly boards holding the wiring harnesses. Manual operator zones are located outside the automation zone that are associated with the wiring harness assembly stations. The wiring harness assembly stations are reconfigurable between a first configuration in which a first wiring harness assembly board faces the manual operator zone such that it is accessible to a manual operator, and a second configuration in which it faces the automation zone such that it is accessible to the robot. The robot is moved within the automation zone between a plurality of assembly locations where it accesses and operates on the respectively the plurality of wiring harness assembly stations.

A binding device including: a binding machine that binds reinforcing bars with a wire; and a transfer robot that moves the binding machine and the reinforcing bars positioned at a binding position in a direction of approaching and a direction of separating from each other by a relative movement of the binding machine and the reinforcing bars. The binding machine is configured to determine, when the binding machine starts an operation of binding the reinforcing bars with the wire, a timing of moving the binding machine and the reinforcing bars in the direction of separating from each other, and the transfer robot is configured to move the binding machine and the reinforcing bars in the direction of separating from each other at the determined timing.

A binding device communicable with an information processing device, the binding device including: a binding machine that binds reinforcing bars with a wire; and a transfer robot that moves the binding machine to a binding position by a relative movement between the binding machine and the reinforcing bars. The binding machine includes: an information acquisition unit configured to acquire binding related information related to an operation of binding the reinforcing bars with the wire, and an information communication unit configured to notify the information processing device of the binding related information acquired by the information acquisition unit.

Systems and methods for AI assisted reconfigurable, fixtureless manufacturing is disclosed. The invention eliminates geometry-setting tools (hard points, pins and nets—traditionally known as 3-2-1 fixturing schemes) and to replace the physical geometry setting with virtual datums driven by learning AI algorithms. A first type of part and a second type of part may be located by a machine vision system and moved by material handling devices and robots to locations within an assembly area. The parts may be aligned with one another and the alignment may be checked by the machine vision system which is configured to locate datums, in the form of features, of the parts and compare such datums to stored virtual datums. The parts may be joined while being held by the material handling devices or robots to form a subassembly in a fixtureless fashion. The material handling devices are able to grasp a number of different types of parts so that a number of different types of subassemblies are capable of being assembled. The system enables one skilled in the art to develop a product design with self-locating parts that will eliminate and minimize the need for geometry setting dedicated line tools and fixtures. This leads to the development of a manufacturing process that utilizes the industry 4.0 technologies to once again eliminate or significantly reduces the need for geometry setting line tools.