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Characteristics based visual servo for 6DOF robot arm control

Shinya Tsuchida, Huimin Lu, Tohru Kamiya, Seiichi Serikawa

发表年份
2021
引用次数
11

摘要

Visual servo is a method for robot arm motion control. It is controlled by the end effector velocity that is the result in calculating the internal Jacobi matrix and vector of feature error. In general, automatic robotic task require high quality sensor that can measure a 3-dimential distance, and do calibration in order to suit the sensor frame and robot frame in Euclidean space. In this paper, we only use RGB camera as the data collection, which not requiring the calibration in sensor frame. Thus, our method is simpler than any other automatic motion methods. Meanwhile, the proposed characteristics based visual servo method has varying the hyper parameter, and show the effectiveness for indicating the precision of pose error both simulation and actual environments.

关键词

Computer visionComputer scienceArtificial intelligenceServo controlRobotic armRobotFrame (networking)ServoRGB color modelRobot end effector

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