Abstract: Provided is a robot control device capable of facilitating the work of setting a control center for controlling the operation of a robot. The robot control device controls a robot manipulator which is equipped with an end effector. The robot control device includes: an image processing unit that, by using a feature extraction model for detecting images of the robot manipulator, and position/posture information of the robot manipulator, detects, from images (M1, M2) in which at least part of the robot manipulator is captured, a position in a three-dimensional space which corresponds to designated positions (P1, P2) designated on the images, as a position relative to the robot manipulator; and a coordinate system determination unit that sets a control center, for controlling the operation of the robot manipulator, to the position detected in the three-dimensional space.

Abstract: A machine learning apparatus that can determine the state of a tool from a force applied from the tool to a robot while the robot performs a work using the tool. A machine learning apparatus for learning a state of a tool used for a work by a robot includes a learning data acquisition section that acquires, as a learning data set, data of a force applied from the tool to the robot while the robot causes the tool to perform a predetermined operation, and data indicating the state of the tool during the predetermined operation, and a learning section that generates a learning model representing a correlation between the force and the state of the tool, using the learning data set.

Abstract: When performing work on a workpiece with a tool of a robot while the robot and the workpiece are moved relative to each other by an additional axis mechanism, the tool is to be pressed against the workpiece from an appropriate direction. A control device includes an additional axis movement amount acquisition section that acquires an additional axis movement amount, a command generation section that generates a movement command for a robot based on operation plan data of the robot and the additional axis movement amount, a vector acquisition section that, based on the operation plan data or the additional axis movement amount, acquires a vector in a direction along a work target portion of a workpiece, and a pressing direction determination section that determines a pressing direction in which the robot is to press the tool against the workpiece during work, using the vector acquired by the vector acquisition section.

Abstract: A determination apparatus acquires, as acquired data, the state of force and moment applied to a manipulator and the state of the position and the posture in an operation when a force control of an industrial robot is carried out, and creates an evaluation function that evaluates the quality of the operation of the industrial robot based on the acquired data. Then, it creates determination data for the acquired data using the evaluation function, and creates state data used for machine learning based on the acquired data. Then, it generates a learning model for determining a quality of an operation of the industrial robot using the state data and the determination data.

Abstract: There is provided a robot simulation part device which can facilitate the setting of parameters of force control.

Abstract: There is provided a polishing amount estimation device which can facilitate the setting of parameters of teaching trajectory or force control in a polishing operation. A polishing amount estimation device for estimating a polishing amount in a polishing operation which is performed by bringing a polishing tool mounted on a robot manipulator into contact with a target workpiece by force control includes a memory which stores a motion program, and a polishing amount estimation part configured to estimate the polishing amount based on at least one of a motion trajectory of the polishing tool, a movement speed of the polishing tool, and a pressing force of the polishing tool against the target workpiece, which are obtained based on the motion program.

Abstract: A complicated motion program is taught, in a simple manner, to a lead-through teachable robot. Provided is a teaching apparatus for a robot, the teaching apparatus being provided with: a movement-instruction input portion that is attached to the robot and with which a movement instruction for the robot is input; and a command input portion with which it is possible to set at least one of a movement-trajectory defining command, a standby command, a speed-changing command, and a work-condition changing command at an arbitrary position on a movement pathway of the robot in a direction that corresponds to the movement instruction input via the movement-instruction input portion.

Abstract: An adjustment support device includes: a storage unit for storing, with force state data and position data in an operation when performing force control of the industrial robot as a state variable and with data indicating a result of determining whether a result of the force control is success or failure based on predetermined criteria as determination data, a learning model generated by machine learning; an analysis unit for analyzing the learning model to analyze, for a control parameter used when the force control of the industrial robot has failed, an adjustment method of the control parameter for improving a degree of success of the force control; and an adjustment determination unit for determining, based on a result of the analysis by the analysis unit, an adjustment method of the control parameter in the force control used when the force control has failed and outputting the adjustment method.

Abstract: An adjustment support device includes: a storage unit for storing, with force state data and position data in an operation when performing force control of the industrial robot as a state variable and with data indicating a result of determining whether a result of the force control is success or failure based on predetermined criteria as determination data, a learning model generated by machine learning; an analysis unit for analyzing the learning model to analyze, for a control parameter used when the force control of the industrial robot has failed, an adjustment method of the control parameter for improving a degree of success of the force control; and an adjustment determination unit for determining, based on a result of the analysis by the analysis unit, an adjustment method of the control parameter in the force control used when the force control has failed and outputting the adjustment method.

Abstract: A machine learning apparatus that can determine the state of a tool from a force applied from the tool to a robot while the robot performs a work using the tool. A machine learning apparatus for learning a state of a tool used for a work by a robot includes a learning data acquisition section that acquires, as a learning data set, data of a force applied from the tool to the robot. while the robot causes the tool to perform a predetermined operation, and data indicating the state of the tool during the predetermined operation, and a learning section that generates a learning model representing a correlation between the force and the state of the tool, using the learning data set.

Abstract: A determination apparatus acquires, as acquired data, the state of force and moment applied to a manipulator and the state of the position and the posture in an operation when a force control of an industrial robot is carried out, and creates an evaluation function that evaluates the quality of the operation of the industrial robot based on the acquired data. Then, it creates determination data for the acquired data using the evaluation function, and creates state data used for machine learning based on the acquired data. Then, it generates a learning model for determining a quality of an operation of the industrial robot using the state data and the determination data.

Abstract: A complicated motion program is taught, in a simple manner, to a lead-through teachable robot. Provided is a teaching apparatus for a robot, the teaching apparatus being provided with: a movement-instruction input portion that is attached to the robot and with which a movement instruction for the robot is input; and a command input portion with which it is possible to set at least one of a movement-trajectory defining command, a standby command, a speed-changing command, and a work-condition changing command at an arbitrary position on a movement pathway of the robot in a direction that corresponds to the movement instruction input via the movement-instruction input portion.