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Dr Shuyi Zhao gives us a talk

Bearing Rigidity Theory and its Applications for Control and Estimation of Network Systems

In this seminar, I will talk about my recent research results on distributed control and estimation over robotic networks. In particular, I will introduce a new bearing-based approach to solve some challenging problems that used to be difficult to solve by conventional approaches. This bearing-based approach, which was originally motivated by vision-based multi-robot swarming, fully explores the critical role of bearing (or called direction) information in multi-robot control and estimation. With this approach, distributed formation control of multiple robots can be achieved merely based on inter-neighbor bearing measurements while distance information is not required. The bearing-based approach can also be applied to sensor network self-localization with bearing-only measurements and provide a simple solution to control the scale of multi-robot formations to avoid obstacles.


Shiyu Zhao is a Lecturer in the Department of Automatic Control and Systems Engineering at the University of Sheffield, UK. He received the B.E. and M.E. degrees from Beijing University of Aeronautics and Astronautics in 2006 and 2009, respectively. He got the Ph.D. degree in Electrical Engineering from National University of Singapore in 2014. From 2014 to 2016, he served as postdoctoral researchers at the Technion - Israel Institute of Technology and the University of California, Riverside, respectively. His research interests lie in control and estimation over networked dynamical systems and its application to intelligent and robotic systems.