主 题： Biologically Inspired Real-time Escape and Rescue of Multiple Robotic Systems
主讲人：Simon X. Yang
时 间： 2024年7月23日10:00
地 点： 5A-224
Abstract:
Biologically inspired escape and rescue are growing areas of research that draws inspiration from advantageous biological strategies, mechanisms, and structures for the development of intelligent robotic systems that can autonomously escape from threats and rescue targets. The biologically inspired robotics methodologies comprise promising solutions that would significantly improve the efficiency of system performance, flexibility in dynamic environments, and robustness to various uncertainties. This talk will focus on our studies on real-time collision-free escape and rescue of multi-robot systems in complex and changing environments. Firstly, a novel evasion strategy is designed for multiple evaders against a faster pursuer in complex and changing environments, where an innovative neurodynamics-based approach is proposed to approximate the pursuit-evasion game, instead of the differential games. In comparison to conventional approaches, the proposed approach is capable of providing real-time responses to sudden changes in complex dynamic environments. Secondly, a collective escape approach is designed for multi-robot systems to leave away from threats based on their limited sensing ability alone. The proposed neurodynamics-based self-adaptive mechanism enables multi-robot systems with the self-adaptive ability to adapt the environmental changes. Finally, a multi-robot rescue framework is designed for cooperative rescue in complex changing environments. The proposed approach can generate collision-free rescue trajectories. In addition, a feature learning approach is incorporated with a neurodynamics-based approach and reduces its computation complexity.
Short Biography:
Prof. Yang received the B.Sc. degree in engineering physics from Beijing University, China, in 1987, the first of his 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. Currently he is a Professor and the Head of the Advanced Robotics and Intelligent Systems (ARIS) Laboratory at the University of Guelph. Prof. Yang’s research interests include robotics, artificial intelligence, sensors and signal processing, multi-sensor fusion, wireless sensor networks, intelligent control, and computational neuroscience. Prof. Yang serves as the Editor-in-Chief of Intelligence & Robotics, and International Journal of Robotics & Automation, and an Associate Editor of IEEE Transactions on Cybernetics, IEEE Transactions on Artificial Intelligence, and several other international journals. He has involved in the organization of many international conferences.
