题目：Intelligent Adaptive Control: from Autonomous Systems to Human-Robot Interaction
主讲人：潘亚君
讲座时间：2026年7月8日(周三) 15:30
地点： 综合楼644会议室
主讲人简介：
Ya-Jun Pan is a Professor in the Dept. of Mechanical Engineering at Dalhousie University, Canada. Dr. Pan’s research interests are mainly in robust nonlinear control, cyber physical systems, intelligent mechatronics, and robotics. She has been recognized as a Fellow of Canadian Academy of Engineering (FCAE’2023), Engineering Institute of Canada (FEIC’2021), American Society of Mechanical Engineers (FASME’2017), Canadian Society of Mechanical Engineering (FCSME’2023) and awarded the CSME Mechatronics Medal Award (2025), the Research Excellence Award (2008) at Dalhousie University and Alexander von Humboldt Research Fellowship (2016) from Germany.
She serves as IES Vice President for Membership Activities (2025-2026). She is a Senior Editor of IEEE/ASME Transactions on Mechatronics, and Associate Editor for seven IEEE Transactions. She has served in many conference organizing committees, VP Atlantic for CSME, Chair for IEEE IES Distinguished Lecturer Program and Women in Engineering in IES.
讲座摘要：In many applications such as inspection, search and rescue, co-manipulations in Industrial 5.0, healthcare services, and logistics etc., robotic systems with effective intelligent adaptive control are more efficient and with more operational capability in achieving the tasks. In recent years, the planning and control of autonomous systems in an unknown environment and effective adaptive interaction of robot-robot and human-robot interaction have been the active areas of research. In this talk, I will outline the challenges of the navigation and control of intelligent robotics working in unknown and dynamic environments and will present on several recent innovative intelligent adaptive control approaches we have verified through experimental studies. Specifically, results on the vision-based motion planning, intelligent navigation avoiding dynamic obstacles, distributed formation control, adaptive robust control for multiple aerial and ground vehicles, adaptive dexterous manipulations interacting with human, and adaptive cooperative manipulation systems will be described. The robot system is to dynamically adapt to the environment through intelligent planning and adaptive control, optimize their task sequences to minimize energy consumption, avoid obstacles and prevent collisions during the mission. While interacting with human, sensor-based learn-from-demonstration and adaptive admittance control grant the system a level of compliance for safe human-robot physical interaction.
