代表性论文:
[1] Yu Wang, Chen Chen, Yong Hong, Zhouyi Zheng, Zhitao Gao, Fangyu Peng, Rong Yan, Xiaowei Tang, PI2-BDMPs in Combination with Contact Force Model: A Robotic Polishing Skill Learning and Generalization Approach, IEEE/ASME Transactions on Mechatronics, 2025, 1-11.
[2] Yu Wang, Chen Chen, Fangyu Peng, Zhouyi Zheng, Zhitao Gao, Rong Yan, Xiaowei Tang, AL ProMP: Force-relevant skills learning and generalization method for robotic polishing, Robotics and Computer-Integrated Manufacturing, 2023, 82: 102538.
[3] Yu Wang, Mingkai Zhang, Xiaowei Tang, Fangyu Peng, Rong Yan, A kMap optimized VMD-SVM model for milling chatter detection with an industrial robot, Journal of Intelligent Manufacturing, 2022, 33(5): 1483-1502.
[4] Chen Chen, Yu Wang, ZhiTao Gao, FangYu Peng, XiaoWei Tang, Rong Yan, YuKui Zhang, Intelligent learning model-based skill learning and strategy optimization in robot grinding and polishing, Science China-technological Sciences, 2022, 65(9): 1957-1974.
[5] Yu Wang, Zhouyi Zheng, Chen Chen, Zezheng Wang, Zhitao Gao, Fangyu Peng, Xiaowei Tang, Rong Yan, Adaptive Tuning of Robotic Polishing Skills based on Force Feedback Model, 2023 IEEE International Conference on Robotics and Biomimetics (ROBIO).
代表性专利:
[1] 唐小卫, 彭芳瑜, 王宇, 等. 一种基于超参数优化的机器人铣削加工颤振辨识方法, ZL202011355816.8.
[2] 彭芳瑜, 陈晨, 李浩, 王宇, 等.考虑关节摩擦与电机惯量的UR机器人动力学参数辨识方法, ZL202210812019.0.
[3] 彭芳瑜, 王宇, 郑周义, 等. 一种基于轨迹分割的分段DMP机器人磨抛技能学习方法, CN202211466705.3.
[4] 彭芳瑜, 郑周义, 王宇, 等. 一种基于PPO强化学习的机器人恒力控制打磨方法, CN202311444136.7.