A Constant Force Tracking Strategy for Complex Surface Robots Fused with NURBS Speed Planning and Teaching/Learning Mode

• Published in: 2023 WRC Symposium on Advanced Robotics and Automation (WRC SARA) pp. 7 - 13
• Main Authors: Jinjun, Duan, Kunkun, Cui, An, Guo, Lingyu, Wang, Yiming, Bin, Minhong, Wan, Qiulan, Huang
• Format: Conference Proceeding
• Language: English
• Published: IEEE 19.08.2023
• Subjects: complex/heterogeneous surfaces; constant force tracking; Education; Force; NURBS speed planning; Planning; Robot kinematics; Splines (mathematics); Surface fitting; Surface reconstruction; Surface topography; Surface treatment; teaching and learning modes; Trajectory planning
• ISSN: 2835-3358
• DOI: 10.1109/WRCSARA60131.2023.10261805

Compliance control technology is particularly im-portant in contact operations such as grinding and polishing, surface tracking, and medical diagnosis. The core technology achieves contact control of a constant force for complex heterogeneous surfaces. However, due to the unknown environmental stiffness/position and dynamic changes, there are some problems, such as poor position/force tracking accuracy and a low degree of complex surface fit. To solve the above problems, a piecewise trajectory planning algorithm based on speed controllable NURBS and a teaching and learning mode constant force tracking strategy based on position/force coordination planning are proposed in this paper. First, a NURBS segmented trajectory planning algorithm with controllable speed is proposed by combining the NURBS trajectory planning algorithm with the T-type speed interpolation algorithm, and constant force tracking control based on the FCPressNURBS instruction set is realized by combining the adaptive admittance control algorithm. Second, based on the concept of teaching and learning modes, the position/force tracking parameters are obtained by the compliant control method, and the learning ideas is used to optimize the constant force tracking trajectory of the robot. Finally, the algorithm is tested on the ROKAE xMate robot, and the results show that the proposed algorithm improves the constant force tracking accuracy of the robot to the complex contact surface in the heterogeneous environment and can realize the adaptive constant force tracking effect of the robot to the unknown environment.