Precision Calibration of Robot Magnetorheological Finishing System Based on Laser Tracker
Yujing Wei,
Runmu Cheng,
Longxiang Li,
Qiang Cheng,
Yue Pan,
Chaoyue Zhu,
Jinbo Zhang,
Jun Zheng,
Bo Ai
Affiliations
Yujing Wei
Measurement and Control Technology and Instruments, School of Optoelectronic Engineering, Changchun University of Science and Technology, Changchun 130022, China
Runmu Cheng
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
Longxiang Li
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
Qiang Cheng
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
Yue Pan
Measurement and Control Technology and Instruments, School of Optoelectronic Engineering, Changchun University of Science and Technology, Changchun 130022, China
Chaoyue Zhu
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
Jinbo Zhang
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
Jun Zheng
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
Bo Ai
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
Six-degree-of-freedom industrial robots, known for their low cost and high flexibility, have been extensively applied in optical processing. Precise pose control in robot-based optical processing systems depends on the accurate calibration of the tool coordinate system. However, in robot magnetorheological finishing (Robot-MRF) systems, the spherical shape of the polishing wheel poses significant challenges in precisely identifying the working point on the tool’s surface. Traditional calibration methods, such as the four-point or six-point techniques, fail to accurately calibrate the tool coordinate system for MRF tools. To overcome this limitation, a laser tracker-based calibration method is proposed for parameter calibration of the Robot-MRF system. Experimental results show that this method achieves a maximum repeatability error of just 0.0505 mm, significantly improving the stability and reliability of the calibration results and meeting the high-precision processing requirements of MRF technology.