Simon

Biological inspiration provides the basis for many aspects of robotics. Research on biologically inspired intelligence has made significant progress in both understanding biological systems and developing bionic engineering applications to information acquisition, data processing, and control and cooperation for various robotic systems. In this talk, I will start with a very brief introduction to several biological systems and their inspiration for various intelligent autonomous robotic systems, such as fish, dog, snake, insects and humans. After that, I will focus on several examples of our current research on bio-inspired intelligent approaches with applications to diversified autonomous robotic systems, such as real-time motion planning, navigation, control and cooperation of autonomous mobile, aerial, and underwater robotic systems; and intelligent robotic e-nose systems with applications.

Biography:

Prof. Simon X. Yang is a Fellow of the Canadian Academy of Engineering. 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, intelligent agriculture, machine learning, and computational neuroscience. He has published over 700 academic papers, including over 400 journal papers. 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 been involved in the organization of many international conferences.