Abstract: A robot system including a robot, a marker unit, a sensor, storage device, and a control device. The robot performs an operation with regard to a workpiece. The marker unit is attached to a measurement object and includes a base section and a plurality of markers attached to the base section. The sensor detects identification information and three-dimensional positions of the plurality of markers. The storage device stores teaching data including operation data and attachment position data indicating a correspondence relationship between the identification information of each of the markers and an attachment position of the corresponding marker. The control device calculates a three-dimensional position of the measurement object based on the three-dimensional positions of the plurality of markers and the attachment position data and controls the robot based on the three-dimensional position of the measurement object and the operation data so as to make the robot perform the operation.

Abstract: A robot system including a robot, a marker unit, a sensor, storage device, and a control device. The robot performs an operation with regard to a workpiece. The marker unit is attached to a measurement object and includes a base section and a plurality of markers attached to the base section. The sensor detects identification information and three-dimensional positions of the plurality of markers. The storage device stores teaching data including operation data and attachment position data indicating a correspondence relationship between the identification information of each of the markers and an attachment position of the corresponding marker. The control device calculates a three-dimensional position of the measurement object based on the three-dimensional positions of the plurality of markers and the attachment position data and controls the robot based on the three-dimensional position of the measurement object and the operation data so as to make the robot perform the operation.

Abstract: Method of automatically avoiding an obstacle for a robot including a geometric model expression step, an area setting step, a final posture deciding step, an initial route deciding step, a virtual posture calculation step, an interference determining step, a way-point posture deciding step that decides the virtual posture as a way-point posture; and when the geometric model is determined to interfere with the no-entry area, virtually generates a repulsive force for relatively repelling an interfering portion of the geometric model from an interfering portion of the no-entry area, calculates a posture in a state where the interfering portion of the model is pushed from the no-entry area into the operating area by the repulsive force, and decides the calculated posture as a way-point posture; an updated route deciding step, and a step repeatedly performing the steps from the initial route deciding step to the updated route deciding step.

Abstract: Method of automatically avoiding an obstacle for a robot including a geometric model expression step, an area setting step, a final posture deciding step, an initial route deciding step, a virtual posture calculation step, an interference determining step, a way-point posture deciding step that decides the virtual posture as a way-point posture; and when the geometric model is determined to interfere with the no-entry area, virtually generates a repulsive force for relatively repelling an interfering portion of the geometric model from an interfering portion of the no-entry area, calculates a posture in a state where the interfering portion of the model is pushed from the no-entry area into the operating area by the repulsive force, and decides the calculated posture as a way-point posture; an updated route deciding step, and a step repeatedly performing the steps from the initial route deciding step to the updated route deciding step.