内容简介：

‘Autonomous’ will play a critical role in ongoing Industry 4.0 with systematic ‘embedded intelligence’ into various industrial processes and systems, such as intelligent manufacturing and autonomous vehicles including UAVs, networked robotics, internet of things, etc. In this talk, the frontiers of autonomous technologies and research as well as its applications are first presented as background. The role of the field sensor network is then discussed as an enabling approach for autonomous operations. It is argued that practical autonomous operations can be addressed as task-oriented optimization problems and the formulation of autonomous problems is shown as an optimization of field sensor networks. A visual sensor network is presented as an example in this regard and a general framework for field sensor network is proposed. Finally, the complexity of the field sensor network is discussed with the intention to call for more research effort on the problem.

报告人简介：

Xiang Chen received his Ph. D. degree in Systems and Control from Louisiana State University in 1998. Since 2000, he has held cross- appointed faculty position with Department of Electrical and Computer Engineering and Department of Mechanical, Automotive and Materials Engineering at the University of Windsor and is currently a Professor in the Department of Electrical and Computer Engineering. He has made fundamental contribution to Gaussian filtering and control and to the control of nonlinear systems with bifurcation. He has also made significant contribution to industrial applications of control and optimization in automotive systems and in visual sensing systems through extensive collaborative research and development activities with robotic and automotive industries. Some of the deliverables have been patented by relevant companies or became transferred technologies to relevant companies. He is currently an Associate Editor for SIAM Journal on Control and Optimization and a Technical Editor for IEEE/ASME Transaction on Mechatronics. His research has been well supported by research funds from government agencies at both federal and provincial levels in Canada and from industrial companies in both Canada and USA. He received the New Faculty Award from Canadian Foundation of Innovation and from Ontario Centre of Excellence—Materials and Manufacturing Ontario. He also received Research Excellence Award and three other research awards from the University of Windsor. His current research interests include automotive control and calibration, optimization of field sensor network for autonomous applications, and control of systems with complexities. He is a registered Professional Engineer in Ontario, Canada.