Plenary Lectures (Keynote)

Plenary Lecture 1 - June 27, 08:30 - 09:15 (Wed)

Autonomous Learning for Decision-making and Control of Intelligent Vehicles - Xin Xu
Professor, National University of Defense Technology, China
Location: Conference Center
Host: Dr. Lingxi Li

Presentation Abstract:

Decision-making and motion control of intelligent vehicles have been an important research topic in recent years. Due to the complexity and uncertainties in external environments and internal dynamics, it is necessary to develop autonomous learning techniques for optimal decision-making and control of intelligent vehicles. In this talk, recent advances in the theory and algorithms of reinforcement learning with value function approximation will be introduced to deal with autonomous learning tasks with large or continuous state spaces. Based on these autonomous learning methods, the frameworks and models of self-learning decision-making and control of intelligent vehicles will be presented. Some simulation and experimental results will also be provided to evaluate the performance of self-learning decision-making and control methods. The open problems for future research will also be discussed in this talk.


Prof. Xin Xu received the B.S. degree in electrical engineering from the Department of Automatic Control, National University of Defense Technology (NUDT), Changsha, P. R. China, in 1996 and the Ph.D. degree in control science and engineering from the College of Mechatronics and Automation (CMA), NUDT. He has been a visiting scientist for cooperation research in the Hong Kong Polytechnic University, University of Alberta, and the University of Strathclyde, respectively. Currently, he is a full Professor and Director with the Institute of Unmanned Systems, College of Intelligence Science and Technology, NUDT.

His main research areas include: reinforcement learning and intelligent vehicles, learning control, robotics and machine learning. He has coauthored four books and published more than 150 papers in international journals and conferences. He is an associate editor of Information Sciences, CAAI Transactions on Intelligence Technology, Acta Automatica Sinica, Intelligent Automation and Soft Computing. He has also been a Guest Editor of IEEE Transactions on System, Man and Cybernetics: Systems, International Journal of Social Robotics, International Journal of Adaptive Control and Signal Processing.

Prof. Xu is one of the recipients received the 2nd class National Natural Science Award of China in 2012, the 1st class Natural Science Award from Hunan Province, P. R. China, in 2009 and the Fork Ying Tong Youth Teacher Fund of China in 2008. He is a Senior Member of IEEE, a Committee Member of the IEEE Technical Committee on Approximate Dynamic Programming and Reinforcement Learning (ADPRL) and the IEEE Technical Committee on Robot Learning. He has served as a PC member or S ession Chair in many international conferences.