Prof. Simon X. Yang
University of Guelph, Canada
Simon X. Yang, 教授，加拿大圭尔夫大学
Title: Novel Bioinspired Artificial Intelligence with Applications to Various Robotic Systems
Abstract: Research on biologically inspired artificial intelligence has made significant progress in both understanding the biological systems and developing bionic engineering applications to the sensing, information processing, and control 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 gated-dipole 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 bio-inspired artificial intelligence with applications to various robotic systems, such as real-time motion planning, tracking and control of autonomous mobile, aerial, surface and underwater robots; intelligent tomato-harvesting robotic systems; intelligent robotic e-nose systems; and intelligent cooperation and coordination of multi-robot systems.
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 and Intelligent Systems (ARIS) Laboratory at the University of Guelph in Canada.
Prof. Yang has diversified research expertise. His research interests include robotics, artificial intelligence, sensors and multi-sensor fusion, wireless sensor networks, intelligent control, machine learning, fuzzy systems, intelligent communication and transportation, and computational neuroscience. His significant research contributions can be reflected by his original and innovative work in biologically inspired intelligence with applications to real-time motion planning, tracking and control of various robotic systems, and various other engineering and biomedical systems. He has published about 450 referred papers, including over 250 journal papers. Prof. Yang he has been very active in various professional activities. He serves as the Editor-in-Chief of International Journal of Robotics and Automation, and an Associate Editor of IEEE Transactions on Cybernetics, IEEE Transactions of Artificial Intelligence, and several other journals. He has involved in the organization of many international conferences.