报告题目：Robot Skill Learning and Human-like Control
报告人：Professor Chenguang (Charlie) Yang,Bristol Robotics Laboratory,University of the West of England,UK
会议ID：805 815 288
Professor Chenguang (Charlie) Yang is the leader ofRobot Teleoperation Groupof Bristol Robotics Laboratory, a Co-Chair of theTechnical Committee on Bio-mechatronics and Bio-robotics Systems(B2S), IEEE Systems, Man, and Cybernetics Society, and a Co-Chair of theTechnical Committee on Collaborative Automation for Flexible Manufacturing(CAFM), IEEE Robotics and Automation Society.
He received PhD degree from the National University of Singapore (2010) and performed postdoctoral research at Imperial College London. He is a recipient of the prestigious IEEE Transactions on Robotics Best Paper Award (2012) and IEEE Transactions on Neural Networks and Learning Systems Outstanding Paper Award (2022) as lead authors. He has been awarded EPSRC Innovation Fellowship and EU FP-7 Marie Curie International Incoming Fellowship. He is a Fellow of British Computer Society and Higher Education Academy. He serves as Associate Editor of a number of leading international journals including seven IEEE Transactions. His research interest lies in human robot interaction and intelligent system design.