Special Session 4: Modeling and Intelligent Control of Robotic Systems 机器人系统建模与智能控制
Introduction: Modeling and control are the core foundations for intelligent robots to achieve autonomous decision-making. This not only requires the construction of high-precision dynamic models but also necessitates adaptive and optimal control capabilities. Furthermore, the control paradigms are continuously evolving towards biomimetic intelligence. This session will explore cutting-edge methods in robotic system modeling and control, including but not limited to data-driven modeling, reinforcement learning control, human-robot collaborative control, and disturbance rejection.
Organizers: Qun Lu, Taizhou University; Xiang Wu,
Zhejiang University of Technology; Ziquan Yu, Nanjing University
of Aeronautics and Astronautics
陆群，台州学院；吴祥，浙江工业大学&余自权，南京航空航天大学