Professor Ben M. Chen
Miroslav Krstic

Department of Mechanical and Automation Engineering
Chinese University of Hong Kong, China
Department of Electrical and Computer Engineering
National University of Singapore

 

 



Biography

Prof. Ben M. Chen is currently a Professor of Mechanical and Automation Engineering at the Chinese University of Hong Kong and a Professor of Electrical and Computer Engineering (ECE) at the National University of Singapore (NUS). He was a Provost's Chair Professor in the NUS ECE Department, where he also served as the Director of Control, Intelligent Systems and Robotics Area, and Head of Control Science Group, NUS Temasek Laboratories. He was an Assistant Professor at the State University of New York at Stony Brook, in 1992–1993. His current research interests are in unmanned systems, robust control and control applications.

 

Dr. Chen is an IEEE Fellow. He has authored/co-authored more than 450 journal and conference articles, and a dozen research monographs in control theory and applications, unmanned systems and financial market modeling. He had served on the editorial boards of a dozen international journals including Automatica and IEEE Transactions on Automatic Control. He currently serves as an Editor-in-Chief of Unmanned Systems. Dr. Chen has received a number of research awards. His research team has actively participated in international UAV competitions and won many championships in the contests.

Title

Research Trends in Developing Intelligent Unmanned Systems

Abstract

The research and market for the unmanned aerial systems (UAS), or drones, has greatly expanded over the last few years. It is expected that the currently small civilian unmanned aircraft market is likely to become one of the major technological and economic stories of the modern age, due to a wide variety of possible applications and added value related to this potential technology. Modern unmanned aerial systems are gaining promising success because of their versatility, flexibility, low cost, and minimized risk of operation. In this talk, we highlight some key techniques involved and research trends in developing intelligent autonomous unmanned aerial vehicles, which include task and motion planning, flight control systems, perception and data processing. Some industrial application examples will be used as illustrations.