报告题目：Feasible coordination and motion planning of multiple heterogeneous robots under various constraints
Abstract: In this talk we discuss coordination control involving multiple autonomous mobile robots under various constraints for achieving a global task. The constraints involve both equality and inequality descriptions for coordination tasks. We develop a general framework involving differential-algebraic equations and viability theory to describe and determine coordination feasibility and motion generation for a coordinated motion control, while robots are with heterogeneous dynamics and subject to various motion constraints.
Bio: Zhiyong Sun received the Ph.D. from The Australian National University (ANU), Canberra ACT, Australia in February 2017. He was a Research Fellow/Lecturer with the Research School of Engineering, ANU, from 2017 to 2018. In June 2018, he joined the Department of Automatic Control, Lund University, Lund, Sweden, as a postdoctoral researcher.
He received the Australian Prime Minister’s Endeavor Postgraduate Award in 2013 from the Australian Government, the Outstanding Oversea Student Award from the Chinese Government in 2016, and the Springer Thesis Prize in 2017. He was a finalist/winner of Best Student Paper (BSP) Award in several conferences, including a BSP finalist award in the 54th IEEE Conference on Decision and Control (CDC 2015) at Osaka, Japan, and the BSP award winner in the 5th Australian Control Conference (AUCC 2015) at Gold Coast, Australia.