Composite Learning Tracking and Interaction Control for Compliant Robots
Supporting the below United Nations Sustainable Development Goals:支持以下聯合國可持續發展目標：支持以下联合国可持续发展目标：
Due to the rapid population aging globally, the current trend of robotic research has been shifting from traditional industrial robots that are separated from humans to human-centered robots that coexist, cooperate, and collaborate with humans. A major motivation for introducing compliance to human-centered robots is physical human-robot interaction.
This talk considers compliant robots with flexible joints and highlights our three major results in composite learning control for compliant robots. First, we establish the connection of the human motor learning and control mechanism to adaptive and learning control theory. Second, we propose a composite learning approach to achieve efficient learning from the bioinspired adaptive robot control. Third, we apply composite learning control methods to improve the accuracy, safety, and naturalness of compliant robots. Experiments based on several physical robots are provided to verify the proposed methods.
Dr. Yongping PAN is a Professor who leads the Robot Control and Learning Lab at the Sun Yat-sen University, Guangzhou, China.
He received a Ph.D. degree in control theory and control engineering from the South China University of Technology, Guangzhou, in 2011 and continued his research in the Nanyang Technological University, Singapore, National University of Singapore, Singapore, and University of Tokyo, Japan during 2011-2019.
His research interests include automatic control and machine learning with applications to robotics, such as compliant actuation, interaction control, visual servoing, and motion planning for both industrial and medical robots.
He has authored or co-authored more than 130 academic papers, including over 100 papers in reputable refereed journals. His publications have attracted over 5500 and 4200 citations in the Google Scholar and Web of Science Core Collection, respectively.
Dr. Pan has been serving as the Founding Chair of the IEEE Robotics and Automation Society Guangzhou Chapter and an Associate Editor of several top-tier journals, such as IEEE-TCST, IEEE-TASE, and IEEE-RAL. He is a recipient of the National Overseas Young Talents Project of China and has been recognized as a Global Highly Cited Researcher by Clarivate. Moreover, he has been invited to deliver academic talks at leading universities and conferences over 50 times worldwide.