Fanuc Corporation

Mikito Hane

Takashi Satou

Hiromitsu Takahashi

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 configured to perform the work includes a processor that acquires an additional axis movement amount, generates a movement command for a robot based on operation plan data of the robot and the additional axis movement amount, 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 determines a pressing direction in which the robot is to press the tool against the workpiece during work by multiplying the acquired vector by a known rotation vector.

Control device, robot system, and control method for causing robot to execute work on workpiece

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 (M, M) in which at least part of the robot manipulator is captured, a position in a three-dimensional space which corresponds to designated positions (P, P) 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.

Robot control device, and robot system

There is provided a robot simulation part device which can facilitate the setting of parameters of force control. A robot simulation device for simulating a force control operation which is performed while bringing a tool part mounted on a robot manipulator into contact with a target workpiece includes a memory which stores a motion program and a force control parameter, which is a set parameter related to the force control operation, and a force control simulation execution part which executes a simulation of the force control operation based on the motion program and the force control parameter, wherein the force control simulation execution part has a virtual force generation part configured to generate, based on position information of the tool part obtained from results of the simulation of the force control operation, a virtual force received by the tool part from the target workpiece in a state in which the tool part is in contact with the target workpiece, and executes the simulation of the force control operation based on the virtual force and a target force set as the force control parameter.

Robot simulation device

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.

Machine learning apparatus, robot system, and machine learning method of learning state of tool

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.

Determination apparatus for determining an operation of an industrial robot

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.

Robot teaching apparatus

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.

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Yamanashi, Japan

Mikito Hane