Systems, methods, and computer-readable media for robotic joining of components, parts, and structures are disclosed. A method in accordance with an aspect of the present disclosure comprises determining a target first position and a target second position in a reference frame, controlling robotic arms to move a first part to the target first position and a second part to the target second position, measuring the parts at the target first and second positions to obtain a measured first and second positions, performing a first operation to determine differences between the measured positions and the target positions, and when the differences exceeds desired tolerances, controlling the robotic arms to move the parts to compensate for the differences, and controlling at least the first or second robotic arm to join the first and second parts after the first and second operations are concluded.

A robot system includes a robot configured to operate in cooperation with a person, a specifying section configured to specify a person present in a region at a predetermined distance from the robot, and a control section configured to decelerate or stop the operation of the robot when the presence of the person in the region is specified by the specifying section. The control section changes the distance based on a result of specifying the person by the specifying section.

A robot programming system according to an aspect of the present disclosure includes: a robot program storage section; a press program storage section; a template program setting section that causes the robot program storage section to store, as an initial version of a robot program, a template program that instructs a robot how to move basically; a model placing section that places three-dimensional models of a workpiece, the robot, and a press machine in a virtual space; a robot movement processing section that causes the three-dimensional model of the robot to move; a press movement processing section that causes the three-dimensional model of the press machine to move; an interference detection section that detects interference between the three-dimensional models; and a robot program modification section that modifies a robot program stored in the robot program storage section to prevent interference detected by the interference detection section.

Provided are methods and apparatus for environment-adaptive robotic disinfecting. In an example, provided is a method that can include (i) creating, from digital images, a map of a structure; (ii) identifying a location of a robot in the structure; (iii) segmenting, using a machine learning-based classifying algorithm trained based on object affordance information, the digital images to identify potentially contaminated surfaces within the structure; (iv) creating a map of potentially contaminated surfaces within the structure; (v) calculating a trajectory of movement of the robot to move the robot to a location of a potentially contaminated surface in the potentially contaminated surfaces; and (vi) moving the robot along the trajectory of movement to position a directional decontaminant source adjacent to the potentially contaminated surface. Other methods, systems, and computer-readable media are also disclosed.

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 system 100 for sheet coil packaging is provided. The system 100 preferably comprises: a sheet coil rotating arrangement 120, arranged to rotate a sheet coil 116 to enable it to be wrapped; first 112 and second 113 industrial robots, having first 108 and second 109 robot arms, arranged to wrap the sheet coil 116 using a wrapping tool 110, using sequences of the first robot arm 108 inserting the wrapping tool 110 into a central hole 118 of the sheet coil 116 and handing over the wrapping tool 110 to the second robot arm 109, and the second robot arm 109 transporting the wrapping tool 110 along the outside of the sheet coil 116 and handing it back to the first robot arm 108, as the sheet coil 116 is rotated by the sheet coil rotating arrangement 120; and two outer edge protection mounting devices 210, 220, arranged at opposite ends of the sheet coil 116 to feed out edge protection material 250 along an outer edge of the sheet coil 116 as the sheet coil 116 is rotated by the sheet coil rotating arrangement 120. The first 112 and second 113 industrial robots are preferably arranged to wrap the sheet coil 116 in synchronization with the feeding out of the edge protection material 250, thereby fixing the edge protection material 250 to the outer edges of the sheet coil 116 by the wrapping as the sheet coil 116 is rotated by the sheet coil rotating arrangement 120.

The present disclosure provides a stair climbing gait planning method and an apparatus and a robot using the same. The method includes: obtaining first visual measurement data through a visual sensor of the robot; converting the first visual measurement data to second visual measurement data; and performing a staged gait planning on a process of the robot to climb the staircase based on the second visual measurement data. Through the method, the visual measurement data is used as a reference to perform the staged gait planning on the process of the robot to climb the staircase, which greatly improves the adaptability of the robot in the complex scene of stair climbing.

In at least one embodiment, a system determines a set of possible grasp poses that allow a robot to successfully grasp an object by generating a set of potential grasp poses, and then evaluating the performance of each potential grasp pose. In at least one embodiment, the system performs a refinement operation on the grasp poses, and based on an evaluation of the poses, creates an improved set of possible grasps for the object.

A system and method for programming a robot includes providing a 3D representation of workpieces to be handled by the robot, and of a working environment; synthesizing and displaying a view of the working environment comprising an image of the workpieces at respective initial positions; identifying matching features of the selected workpiece and of the working environment which are able to cooperate to hold the workpiece in a final position in the working environment, and a skill by which the matching features can be brought to cooperate; identifying an intermediate position from where applying the skill to the workpiece moves the workpiece to the final position; and adding to a motion program for the robot a routine for moving the workpiece from its initial position to the intermediate position and for applying the skill to the workpiece at the intermediate position.

A robot control method, and associated robot controllers and robots operating with such methods and controllers, providing real-time vibration suppression. The control method involves learning to support real-time, vibration-suppressing control. The method uses state-of-the-art machine learning techniques in conjunction with a differentiable dynamics simulator to yield fast and accurate vibration suppression. Vibration suppression using offline simulation approaches that can be computationally expensive may be used to create training data for the controller, which may be provide by a variety of neural network configurations. In other cases, sensory feedback from sensors onboard the robot being controlled can be used to provide training data to account for wear of the robot's components.