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              学术报告通知《Collaborative autonomous agents: state-of-the-art and research challenges》
              日期:2020-12-01 点击:

              报告题目Collaborative autonomous agents: state-of-the-art and research challenges

              报告时间2020124(5) 16:00-17:30



              报告人Bayu Jayawardhana


              Bayu Jayawardhana (SM13) received the B.Sc. degree in electrical and electronics engineering from the Institut Teknologi Bandung, Bandung, Indonesia, in 2000, the M.Eng. degree in electrical and electronics engineering from the Nanyang Technological University, Singapore, in 2003, and the Ph.D. degree in electrical and electronics engineering from Imperial College London, London, U.K., in 2006. He is currently a professor of Mechatronics and Control of Nonlinear Systems in the Faculty of Engineering and Sciences, University of Groningen, Groningen, The Netherlands. He was with Bath University, Bath, U.K., and with Manchester Interdisciplinary Bio-centre, University of Manchester, Manchester, U.K. His research interests include the analysis of nonlinear systems, systems with hysteresis, mechatronics, systems and synthetic biology. Prof. Jayawardhana is a Subject Editor of the International Journal of Robust and Nonlinear Control, an Associate Editor of the European Journal of Control and of IEEE Trans. Control Systems Technology and a member of the Conference Editorial Board of the IEEE Control Systems Society.


              The deployment of collaborative autonomous agents (such as, mobile robots, vehicles, drones, underwater vehicles), where each agent has a high-degree of autonomy and must cooperate with its neighbouring agents such that some prescribed global tasks can be achieved by the whole group, has a lot of potentials in many industrial sectors. It has found potential applications in logistics, manufacturing, environmental and creative industries. In this talk, we will present state-of-the-art distributed control systems techniques, which are enabling technologies for the autonomous collaboration where the use of centralised computing device for orchestrating the multi-agent systems is avoided at all cost. We present experimental results and challenges that include computational aspects and communication technology.







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