Closed-Loop Kinematic Calibration of Robots Using a Six-Point Measuring Device

被引:2
|
作者
Liu, Ying [1 ]
Zhuang, Zhenghao [1 ]
Li, Yuwen [1 ]
机构
[1] Shanghai Univ, Sch Mech Engn & Automat, Shanghai Key Lab Intelligent Mfg & Robot, Shanghai 201900, Peoples R China
基金
中国国家自然科学基金;
关键词
Robots; Calibration; Kinematics; Robot sensing systems; Position measurement; End effectors; Measurement uncertainty; Closed-loop kinematic calibration; coordinate measuring machine (CMM); displacement sensor; positioning accuracy; robot; INDUSTRIAL ROBOTS; EXTENDED KALMAN; ACCURACY; MODEL;
D O I
10.1109/TIM.2022.3191707
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The low absolute positioning accuracy of robots has limited their applications for many precision tasks. Although the robot accuracy can be improved through kinematic calibration, traditional calibration approaches need either expensive external measurement devices or tedious manual intervention. To overcome these issues, this work proposes a closed-loop kinematic calibration method for robots using a six-point measuring device. This device consists of six displacement sensors to determine the pose of a gauge block as a reference workpiece mounted on the robot end-effector. A comprehensive error model is derived to calibrate the kinematic parameters, including the Denavit-Hartenberg (D-H) parameters of the robot geometry and the pose of the robot base. Then, the Levenberg-Marquard (LM) algorithm is adopted to identify these parameters. An experimental study has been conducted on a UR10 robot, combining a coordinate measuring machine (CMM) to verify the calibration results. It is found that the maximum and average distance errors of the robot movement could be significantly decreased from over 5.60 and 2.50 mm to approximately 0.50 and 0.30 mm, respectively. Benefited from the fact that only six displacement sensors are used, the proposed method is cost-effective. Also, the proposed calibration process can be completed without tedious manual teaching and, thus, easy to achieve autonomous calibration.
引用
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页数:12
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