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Distinguished Professor and Vice Head of College of Computer and Control EngineeringNankai Univeristy, China |
Dr. Yongchun Fang is a distinguished professor, also the vice head of the College of Computer and Control Engineering, Nankai Univeristy. Dr. Fang received the B.S. degree in electrical engineering and the M.S. degree in control theory and application, both from Zhejiang University, P. R. China, in 1996 and 1999, respectively, and the Ph.D. degree in electrical engineering from Clemson University, SC, USA in 2002. From 2002 to 2003, he was a Postdoctoral Fellow at the Mechanical and Aerospace Engineering Department, Cornell University. Since 2003, he has been a professor at the Institute of Robotics and Automatic Information System, Nankai University, Tianjin, P. R. China.
Dr. Fang’s research interests include underactuated systems control, visual servoing, AFM-based nano-manipulation, and so on. He won the very prestigious “National Distinguished Young Scholars” Award from National Science Foundation of China (NSFC) in 2013. He is also an Awardee of Tianjin Youth Leaders in Technological Innovation (2014), and an awardee of the 10th young scientist award of Tianjin. His research has been well supported by National Science Foundation of China and other Chinese government funding, such as the well-known National High Technology Research and Development Program (“863” Program), the National Science and Technology Pillar Program, and so on, with a total amount of about 19M RMB within the recent 5 years. During the past 5 years, he has many papers published in prestigious international journals, including more than 20 papers published by IEEE Transactions. His work in underactuated overhead crane, visual servoing, and so on, has been well cited around the world.
Vision control of mobile platforms
This talk provides some discussion on the recently developed vision control strategies for mobile platforms, firstly for ground mobile robot, later on extended to unmanned aerial vehicles. More specifically, it introduces a very efficient motion estimation strategy based on correspondences of two images, based on which some visual servoing algorithms are then designed to achieve visual regulation/tracking tasks of different mobile platforms, under various scenarios. Some interesting experimental results are also included to show the advantages of the proposed algorithms.