時(shí) 間：2022年1月9日10：10-10：40
報(bào)告人：新加坡南洋理工大學(xué)胡國強(qiáng)教授
地 點(diǎn)：機(jī)器人視覺感知與控制技術(shù)國家工程實(shí)驗(yàn)室一樓報(bào)告廳
報(bào)告人簡介：
Guoqiang Hu is currently a Full Professor (Professor of Intelligent Systems and Robotics) in the School of Electrical and Electronic Engineering at Nanyang Technological University, Singapore. Before joining NTU Singapore in 2011, he was an Assistant Professor with Kansas State University, USA. He received B.Eng. in Automation from University of Science and Technology of China in 2002, M.Phil. in Automation and Computer-Aided Engineering from The Chinese University of Hong Kong in 2004, and Ph.D. in Mechanical Engineering from University of Florida in 2007. His research interest is on analysis, control, design and optimization of distributed intelligent systems. He works on distributed optimization and game theory, distributed decision making, distributed control, and data science, with applications to multi-robot systems and smart city systems. He was a recipient of the Best Paper in Automation Award in the 14th IEEE International Conference on Information and Automation, and a recipient of the Best Paper Award (Guan Zhao-Zhi Award) in the 36th Chinese Control Conference. He currently serves as Subject Editor for International Journal of Robust and Nonlinear Control, Associate Editor for IEEE Transactions on Control Systems Technology, and Associate Editor for IEEE Transactions on Automatic Control. He was an Associate Editor for IEEE Transactions on Automation Science and Engineering and a Technical Editor for IEEE/ASME Transactions on Mechatronics.
報(bào)告摘要：
Multi-robot systems have been advancing apace with the help of high-performance hardware and computational technologies. Despite the high-performance computing, communication, sensing, and power devices used in these systems, their effectiveness in uncertain environments appears to still fall behind the natural systems such as a swarm of ants, a flock of birds, or a team of wolves. One of the challenges in multi-robot coordination is the lack of effective distributed algorithms and designs that enable the robots to work cooperatively and safely in uncertain environments. This talk will first give a brief review of multi-robot systems, and then present some recent research results on distributed algorithms and control methods for multi-robot coordination. The research on this topic has a wide range of potential engineering applications, including surveillance and search, warehouse logistics, advanced manufacturing, and environment monitoring.
