Guest Speaker: Prof. Simon X. Yang
Advanced Robotics and Intelligent Systems Laboratory
School of Engineering, University of Guelph, Canada
Prof. Simon X. Yang received the B.Sc. degree in engineering physics from Beijing University, China in 1987, the first of two M.Sc. degrees in biophysics from Chinese Academy of Sciences, Beijing, China in 1990, the second M.Sc. degree in electrical engineering from the University of Houston, USA in 1996, and the Ph.D. degree in electrical and computer engineering from the University of Alberta, Edmonton, Canada in 1999. Prof. Yang joined the School of Engineering at the University of Guelph, Canada in 1999. Currently he is a Professor and the Head of the Advanced Robotics & Intelligent Systems (ARIS) Laboratory at the University of Guelph in Canada.
Prof. Yang has diversified research expertise. His research interests include intelligent systems, robotics, control systems, sensors and multi-sensor fusion, wireless sensor networks, intelligent communications, intelligent transportation, machine learning, and computational neuroscience. He has published over 550 academic papers, including over 350 journal papers. Prof. Yang he has been very active in professional activities. Prof. Yang has served as the Editor-in-Chief of Intelligence & Robotics, and some other journals; and an Associate Editor of IEEE Transactions on Cybernetics, IEEE Transactions on Artificial Intelligence, and several other journals. He has involved in the organization of many international conferences.
Abstract
Research on biologically inspired intelligence has made significant progress in both understanding the biological systems and developing bionic engineering applications to sensing, information processing, control, and cooperation for various robotic systems. In this talk, I will start with a very brief introduction to some biologically inspired intelligent systems approaches, such as neurodynamics models and sensor-motor models. Then, several applications of intelligent systems to biological systems and bio-inspired systems will be briefly presented. After that, I will focus on our current research on novel bio-inspired intelligent approaches to real-time motion planning, tracking, and control of autonomous mobile, water surface, underwater, and aerial robotic systems; intelligent tomato-harvesting robotic systems; intelligent robotic e-nose systems for various odor monitoring and control; and intelligent cooperation and coordination of autonomous multi-robotic systems.
