Plenary Talk 8
Title: Human-Like Robot Control Design and Human Robot Skill Transfer
Speaker: Professor Chenguang Yang
Abstract: In the near future, robots are expected to co-habit with our human beings and work closely with us in various fields and even our daily lives. Unfortunately, most of the current robot control technologies are designed for conventional industrial robots which operate behind safeguarding and for predefined tasks, and thus are not able to cope with the varying tasks in unknown dynamic environments. I have therefore developed human-like adaptive control techniques as well as highly effective human robot skill transfer techniques. My work follows the “from human and for human” principle, i.e., study human motor control skills, in order to develop better robot controllers to support human collaborators. My design not only enable versatile and dexterous robot manipulation but also make robot providing personalized assistance to human factors. My investigations not only create a new cross-disciplinary application area where physiologists are able to employ their knowledge and experiences together with roboticists, but will also have a huge impact on the robotics community, through in-depth investigations on the relation between humans and robots.
Short Bio: Professor Chenguang Yang is a senior member of IEEE. He received the Ph.D. degree in control engineering from the National University of Singapore, Singapore, in 2010. He received postdoctoral training in the Department of Bioengineering at Imperial College London, UK. He was the recipient of the Marie Curie International Incoming Fellowship funded by the European Commission. He was awarded 2011 Best Paper Award of the IEEE Transactions on Robotics; 2014 Steve and Rosalind Hsia Best Biomedical Paper Award from World Congress on Intelligent Control and Automation (WCICA); 2015 Best Conference Paper Awards from IEEE International Conference on Information and Automation (ICIA) and International Conference on Intelligent Robotics and Applications (ICIRA); 2016 Best Conference Paper Award from International Conference on Human System Interaction (HSI); 2017 Toshio Fukuda Best Mechatronics Paper Award from IEEE International Conference on Advanced Robotics and Mechatronics (IEEE ARM); 2017 Best Theory Paper and 2018 Best Paper Award from International Conference on Modeling, Identification and Control (ICMIC). His research interest lies in robotics and automation, especially human robot interaction.