System and method of learning and executing mutually coordinated paths of robot manipulators, including: manually guiding a first reference point of a first robot manipulator over a desired first path, acquiring the first path or acquiring a first set of poses for the first path and storing the first path or the first set of poses in a first data set, automatically traveling along the first path according to the first data set, while automatically traveling along the first path, manually guiding a second reference point of a second robot manipulator over a desired second path, acquiring the second path or acquiring a second set of poses for the second path and storing the second path or the second set of poses in a second data set, wherein the second data set is assigned to the first data set so that a location of the first path is at least approximately assigned to each location of the second path, and traveling along the first path by the first robot manipulator according to the first data set synchronized with traveling along the second path by the second robot manipulator according to the second data set.

A robot having seven or more degrees of freedom is disclosed. In various embodiments, the robot includes a positioning robot having m degrees of freedom and a manipulator robot having n degrees of freedom coupled to the positioning robot. The robot is configured to be operated in a first mode of operation, in which the positioning robot is controlled to position move the manipulator robot into a position to perform a task and the manipulator robot is controlled independently of the positioning robot to perform the task; and in a second mode of operation, in which at least a subset of the m degrees of freedom of the positioning robot and at least a subset of the n degrees of freedom of the manipulator robot are controlled together, by a single controller, to perform the task.

A robot includes: a restricting member configured to restrict a horizontal movement of a predetermined workpiece; and a workpiece moving member configured to generate an action for horizontally moving the workpiece. The controller performs a control operation of positioning the workpiece at a stop position in such a manner that: based on predetermined size information of the workpiece and preset stop position information of the workpiece, the restricting member is positioned at a predetermined restricting position included in the stop position for the workpiece, and the workpiece moving member acts on the workpiece and is moved toward the restricting position to horizontally move the workpiece; and the workpiece is brought into contact with the restricting member.

A multi-scale inspection and intelligent diagnosis system and method for tunnel structural defects includes: a traveling section; a supporting section, disposed on the traveling section, and including a rotatable telescopic platform, where two mechanical arms working in parallel are disposed on the rotatable telescopic platform; an inspection section, mounted on the supporting section, and configured to perform multi-scale inspection on surface defects and internal defects in different depth ranges of a same position of a tunnel structure, and transmit inspected defect information to a control section; and the control section, configured to: construct a deep neural network-based defect diagnosis model; construct a data set by using historical surface defect and internal defect information, and train the deep neural network-based defect diagnosis model; and receive multi-scale inspection information in real time, and automatically recognize types, positions, contours, and dielectric attributes of the internal and surface defects.

A robot system and a method for driving a robot capable of moving the position of the center of gravity of the robot while minimizing the increase in the footprint thereof are provided. A robot system according to an aspect of the present disclosure includes a robot. The robot includes a movable moving part, an upper body part disposed above the moving part, and a driving mechanism for tilting the upper body part and moving a lower end of the upper body part in a direction in which the upper body part is tilted.

A control apparatus is a control apparatus that controls a first manipulator including a detection acquisition unit that acquires information from a first detection unit detecting that at least one of a living organism and an object is located within a first range, a velocity acquisition unit that acquires a velocity of a second manipulator different from the first manipulator, and a control unit that controls a velocity of the first manipulator to be equal to or less than a first velocity, wherein the control unit controls the velocity of the first manipulator so that a relative velocity between the first manipulator and the second manipulator may be equal to or less than a second velocity when the detection acquisition unit acquires the information.

A processing method is for performing a processing with respect to a processing object in at least one field among biochemistry, biology, and biotechnology. The processing method includes transferring, using at least one arm of a robot configured to perform the processing, a container to a mover with the processing object attached on an inner surface of the container. The processing object is moved, using the mover, to a predetermined position on the inner surface of the container. The processing is performed, using a pipette mounted on the arm, with respect to the processing object at the predetermined position.

A dual-arm robot system includes a controller configured or programmed to determine whether or not interference determination targets interfere with each other based on whether or not three-dimensional models generated with a plurality of portions including at least a hand among the hand, a horizontal link, and a body as the interference determination targets overlap each other.

A robot, wherein the robot operates on the basis of a picked-up image of at least a part of a work space of the robot picked up by an image pickup section, and a transparent member is disposed between the robot and the work space of the robot.

A robot system includes a robot including a robot arm, and a first hand and a second hand which are connected to the robot arm and which are provided to independently rotate about an axis on the robot arm; and a controller configured to control an operation of the robot. When the robot arm and the first hand are operated so that the first hand reaches a predetermined target position, teaching values for the first hand in the target position is generated. When the first hand and the second hand are rotated based on the teaching values for the first hand, a relative error in rotation amount around the axis between the first hand and the second hand is acquired and stored in a memory. Teaching values for the second hand is generated from the teaching values for the first hand based on the acquired relative error.