Abstract
A robotic polishing system is usually composed of an industrial robot (macro-robot) and an end-effector (micro-robot), called a macro-micro robotic system. The macro-robot is mainly responsible for path tracking, while the micro-robot implements force control for polishing. This combination has the advantages of large workspace and fast response. However, the traditional end-effector usually has only one degree of freedom (DOF). It can hardly provide optimization space for trajectory planning of the macro-robot, which affects the polishing quality to some extent. Therefore, we developed a 3-DOF end-effector to compensate for the motion of the macro-robot, especially for curved surface polishing. The trajectory planning is modeled as an optimal control problem, and Gauss pseudospectral method is used as the corresponding solution strategy. Finally, in polishing simulations of the arc path, the 3-DOF end-effector is proved to be superior to the traditional 1-DOF one in trajectory planning.
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Acknowledgment
This work was supported by National Key Research and Development Program of China (2022YFB4702500), the Key Research and Development Program of Zhejiang Province (2022C01101, 2022C01096), the Natural Science Foundation of Zhejiang Province (LD22E050007) and the Ningbo Key Project of Scientific and Technological Innovation 2025 (2022Z037, 2021Z020, 2022Z065).
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Zhou, Y., Chen, CY., Yang, G., Zhang, C. (2023). Performance Optimization of Robotic Polishing System with a 3-DOF End-Effector Using Trajectory Planning Method. In: Yang, H., et al. Intelligent Robotics and Applications. ICIRA 2023. Lecture Notes in Computer Science(), vol 14271. Springer, Singapore. https://doi.org/10.1007/978-981-99-6495-6_28
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DOI: https://doi.org/10.1007/978-981-99-6495-6_28
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