Self-correcting gripping robotic arm for QR code based on hand-eye calibrationv

Abstract

During the operation of a robotic arm, the inaccuracy of the end-effector position can seriously affect the overall performance of the robot. In order to significantly reduce the positional error of the actuator with minimal cost, we adopt a 2D code-assisted positioning method based on the principle of hand-eye calibration to negatively feedback correct the coordinates of the end-effector. This method establishes a robotic arm-camera system, which improves the performance and accuracy of the robotic arm.