Kinematic Calibration Method of Robots Based on Distance Error
GAO Wenbin1, WANG Hongguang1,1,1, JIANG Yong
1. State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China
According to the adjoint transformation relationship between the theoretical and actual values of joint twists in the product of exponential (POE) formula, the robot's kinematics equation is transformed into an equivalent form including the joint constraints. The linearized equation describing the relationship between the positioning errors of the end-link and the errors in the joint twists and in the zero position is obtained by differentiating the kinematic equation. With the definition of distance accuracy, the robot's distance error model is set up in POE form, which can avoid the coordinate transformation error from measurement equipment coordinate system to robot's base coordinate system. A kinematic calibration model of robots is presented based on the least-squares method. Finally, a kinematic parameters calibration experiment of a 5-DOF (degree of freedom) manipulator is completed with the help of a laser tracker. The testing result shows that the mean value of the distance errors of the robot is reduced about 3.5 times on the testing points generated randomly after parameter calibration.
[1] Yim M, Shen W M, Salemi B, et al. Modular self-reconfigurable robot systems [Grand Challenges of Robotics][J]. IEEE Robotics & Automation Magazine, 2007, 14(1): 43-52. [2] Yim M, Roufas K, Duff D, et al. Modular reconfigurable robots in space applications[J]. Autonomous Robots, 2003, 14(2/3): 225-237. [3] Kurokawa H, Tomita K, Kamimura A, et al. Distributed self-reconfiguration of M-TRAN III modular robotic system[J]. International Journal of Robotics Research, 2008, 27(3/4): 373-386.[4] Shen W M, Krivokon M, Chiu H, et al. Multimode locomotion via SuperBot robots[C]//IEEE International Conference on Robotics and Automation. Piscataway, USA: IEEE, 2006: 2552-2557.[5] Ryland G G, Cheng H H. Design of iMobot, an intelligent reconfigurable mobile robot with novel locomotion[C]//IEEE International Conference on Robotics and Automation. Piscataway, USA: IEEE, 2010: 60-65.[6] Wei H X, Cai Y P, Li H Y, et al. Sambot: A self-assembly modular robot for swarm robot[C]//IEEE International Conference on Robotics and Automation. Piscataway, USA: IEEE, 2010: 66-71.