Abstract: A tooth contact position adjustment amount estimation device that performs processing with respect to estimating a tooth contact position adjustment amount for dimensional data of parts constituting a power transmission mechanism according to the present invention, comprising: a machine learning device that performs processing with respect to estimating the tooth contact position adjustment amount for the dimensional data of parts constituting the power transmission mechanism, wherein the machine learning device observes part dimensional data, which is the dimensional data of parts constituting the power transmission mechanism, as a state variable indicating a current state of an environment, and performs processing with respect to estimating the tooth contact position adjustment amount for the dimensional data of parts constituting the power transmission mechanism in assembling the power transmission mechanism by performing processing with respect to machine learning based on the observed state variable.

Abstract: This robot system includes a robot, a tool which is attached to the robot, an imaging device, and a controller which controls the robot and the tool, and the controller is configured so that a distal end portion of the robot is placed at a plurality of calibration positions, the tool is operated at each of the calibration positions, images of light irradiated to an object or a trace left on the object due to tool operation processing are captured by the imaging device, and calibration is performed based on comparison between irradiation positions of the light or positions of the traces, which are in an image captured by the imaging device, and predetermined reference positions.

Abstract: A robot system that performs desired processing on a processing target object using a processing tool. The robot system includes a robot having an arm tip that holds the processing tool, a position detector that detects a position of the arm tip, and a robot controller that controls an operation of the robot based on a position command and a position feedback detected by the position detector. The robot controller includes an adjustment operation creating unit that, during adjustment of operation parameters for controlling the operation of the robot, acquires an application and an operation area of the robot and automatically creates an adjustment operation corresponding to the acquired application and the operation area and a parameter adjustment unit that automatically adjusts the operation parameters during execution of the adjustment operation created by the adjustment operation creating unit so that a performance required for the application is satisfied.

Abstract: This robot system includes a robot, a tool which is attached to the robot, an imaging device, and a controller which controls the robot and the tool, and the controller is configured so that a distal end portion of the robot is placed at a plurality of calibration positions, the tool is operated at each of the calibration positions, images of light irradiated to an object or a trace left on the object due to tool operation processing are captured by the imaging device, and calibration is performed based on comparison between irradiation positions of the light or positions of the traces, which are in an image captured by the imaging device, and predetermined reference positions.

Abstract: A tooth contact position adjustment amount estimation device that performs processing with respect to estimating a tooth contact position adjustment amount for dimensional data of parts constituting a power transmission mechanism according to the present invention, comprising: a machine learning device that performs processing with respect to estimating the tooth contact position adjustment amount for the dimensional data of parts constituting the power transmission mechanism, wherein the machine learning device observes part dimensional data, which is the dimensional data of parts constituting the power transmission mechanism, as a state variable indicating a current state of an environment, and performs processing with respect to estimating the tooth contact position adjustment amount for the dimensional data of parts constituting the power transmission mechanism in assembling the power transmission mechanism by performing processing with respect to machine learning based on the observed state variable.

Abstract: A robot controller having a function that simplifies learning and a robot control method. The robot controller includes: a learning section configured to carry out learning of detecting a deviation between a commanded trajectory representing a position of the robot generated according to the command values and an operation trajectory representing an actual position where the robot has moved, and generate a corrected program by adjusting the commanded trajectory; a saving section configured to save the corrected program; and a relearning section configured to carry out relearning on a relearning location, the relearning location being a part of the operation trajectory designated by an operator.

Abstract: A robot control device that controls a robot that executes operations in the same area as an operator includes: an information acquisition unit that acquires information indicating a control state of the robot, information indicating an attitude of the operator, and information indicating a position of an operating target object in the operations; an estimating unit that estimates an operation in execution on the basis of respective pieces of information acquired by the information acquisition unit; a required time calculating unit that calculates a required time required until the operation in execution ends on the basis of the estimated operation in execution; an operation plan creating unit that creates an operation plan of the robot on the basis of the required time; and a control unit that controls the robot so as to execute operations according to the operation plan.

Abstract: A robot system that performs desired processing on a processing target object using a processing tool includes: a robot having an arm tip that holds the processing tool; a position detector that detects a position of the arm tip; and a robot controller that controls an operation of the robot based on a position command and a position feedback detected by the position detector, wherein the robot controller includes: an adjustment operation creating unit that, during adjustment of operation parameters for controlling the operation of the robot, acquires an application and an operation area of the robot and automatically creates an adjustment operation corresponding to the acquired application and the operation area; and a parameter adjustment, unit that automatically adjusts the operation parameters during execution of the adjustment operation created by the adjustment operation creating unit so that a performance required for the application is satisfied.

Abstract: A robot control device that controls a robot that executes operations in the same area as an operator includes: an information acquisition unit that acquires information indicating a control state of the robot, information indicating an attitude of the operator, and information indicating a position of an operating target object in the operations; an estimating unit that estimates an operation in execution on the basis of respective pieces of information acquired by the information acquisition unit; a required time calculating unit that calculates a required time required until the operation in execution ends on the basis of the estimated operation in execution; an operation plan creating unit that creates an operation plan of the robot on the basis of the required time; and a control unit that controls the robot so as to execute operations according to the operation plan.

Abstract: A robot controller having a function that simplifies learning and a robot control method. The robot controller includes: a learning section configured to carry out learning of detecting a deviation between a commanded trajectory representing a position of the robot generated according to the command values and an operation trajectory representing an actual position where the robot has moved, and generate a corrected program by adjusting the commanded trajectory; a saving section configured to save the corrected program; and a relearning section configured to carry out relearning on a relearning location, the relearning location being a part of the operation trajectory designated by an operator.