Publications

PI2-BDMPs in Combination with Contact Force Model: a Robotic Polishing Skill Learning and Generalization Approach
Yu Wang, Chen Chen, Yong Hong, Zhouyi Zheng, Zhitao Gao, Fangyu Peng, Rong Yan, Xiaowei Tang
IEEE/ASME Transactions on Mechatronics (Under Review).

Adaptive Tuning of Robotic Polishing Skills based on Force Feedback Model
Yu Wang, Zhouyi Zheng, Chen Chen, Zezheng Wang, Zhitao Gao, Fangyu Peng, Xiaowei Tang, and Rong Yan
IEEE International Conference on Robotics and Biomimetics 2023 [PDF]

Admittance Control for Robot Polishing Force Tracking Based on Reinforcement Learning
Zhouyi Zheng, Yu Wang, Chen Chen, Zhitao Gao, Fangyu Peng and Rong Yan
International Conference on Intelligent Robotics and Applications(ICIRA) 2023[DOI:https://doi.org/10.1007/978-981-99-6480-2_28]

AL-ProMP: Force-relevant skills learning and generalization method for robotic polishing
Yu Wang, Chen Chen, Fangyu Peng, Zhouyi Zheng, Zhitao Gao, Rong Yan, Xiaowei Tang
Robotics and Computer-Integrated Manufacturing 2023[DOI:https://doi.org/10.1016/j.rcim.2023.102538]

Intelligent learning model-based skill learning and strategy optimization in robot grinding and polishing
Chen Chen, Yu Wang, ZhiTao Gao, FangYu Peng, XiaoWei Tang, Rong Yan, YuKui Zhang
Science China Technological Sciences 2022[DOI:https://doi.org/10.1007/s11431-022-2112-4]

A kMap optimized VMD-SVM model for milling chatter detection with an industrial robot
Yu Wang, Mingkai Zhang, Xiaowei Tang, Fangyu Peng, Rong Yan
Journal of Intelligent Manufacturing 2022[DOI:https://doi.org/10.1007/s10845-021-01736-9]