ECE Research Seminar (Virtual Event*) – December 4th, 2pm CST

November 17, 2020

New Insights: How Bio-inspired Intelligence Assists in Robotics and Embedded Systems

Chaomin Luo |

Abstract: Nowadays, computational intelligence, machine learning, and, especially, bio-inspired intelligence plays an increasingly important role on electrical engineering, and mechatronics engineering including robotics, control, automation, and embedded systems. In this talk, computational intelligence, machine learning and bio-inspired intelligence methods are developed for a variety of real-world applications such as autonomous vehicle systems, mobile robot control, intelligent control, and embedded systems. A sequence of novel neural dynamics, evolutionary computation, swarm intelligence, and deep reinforcement learning techniques, associated with optimization, numerical and heuristic methods, for embedded systems, intelligent vehicle motion control, and tracking control are developed. Nature-inspired optimization algorithms and various innovative biologically inspired neural networks (BINN) algorithms are developed for motion control, navigation, robot vision, mapping and tracking control motivated through biological neural systems as most of biological neural systems are bounded and stable, with robotic applications such as cleaning robots, rescue robots, underwater exploration robots, land exploration robots, and service robots. Automobile accidents account for nearly 34,000 accidental deaths, unfortunately, in the United States yearly; that number is expected to rise by 65% over the next 20 years. The objective of Advanced Driver Assistance Systems (ADAS) is to support drivers through warning to reduce the risk exposure, triggering the protection cycles to prevent from accidents. Sensor fusion, system modeling and development for ADAS are performed and addressed as well. Effectiveness, feasibility, and efficiency of the proposed real-time motion control, intelligent control, navigation, localization, vision, and map building models of autonomous mobile robots have been successfully validated by comparison studies and actual experiments.

Biographical info: Dr. Chaomin Luo received his Ph.D. degree in Electrical and Computer Engineering in the Department of Electrical and Computer Engineering at the University of Waterloo, his M.Sc. in Engineering Systems and Computing at the University of Guelph, and his B.Eng. in Electrical Engineering from the Southeast University. He is currently an Associate Professor, Department of Electrical and Computer Engineering, at the Mississippi State University, MS 39762, USA. Dr. C. Luo’s research interests include computational intelligence, robotics, autonomous systems, control and automation, bio-inspired intelligence for robotics, and embedded systems (VLSI/FPGA CAD). He serves extensively in his research community. He was panelist in 2017 NSF GRFP Panelist program, and 2015-2016, 2016-2017 NDSEG Fellowship program, Department of Defense. He was the General Co-Chair of 2015 IEEE International Workshop on Computational Intelligence in Smart Technologies, and Journal Special Issues Chair, IEEE 2016 International Conference on Smart Technologies, Cleveland, OH. Currently, he is Associate Editor of International Journal of Robotics and Automation, IEEE Transactions on Cognitive and Developmental Systems, and International Journal of Swarm Intelligence Research. Dr. Luo is Associate Editor in 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019). He is Tutorials Co-Chair in the 2020 IEEE Symposium Series on Computational Intelligence.  He received the Best Paper Award in the IEEE International Conference on Information and Automation (IEEE ICIA2017).  He was Chair and Vice Chair of IEEE SEM – Computational Intelligence Chapter and was a Chair of IEEE SEM – Computational Intelligence Chapter and Chair of Education Committee of IEEE SEM. He has organized and chaired several special sessions on topics of Intelligent Vehicle Systems and Bio-inspired Intelligence in reputed international conferences such as IJCNN, IEEE-SSCI, IEEE-CEC, IEEE-IROS, IEEE-CASE, and IEEE-Fuzzy, etc.


* For further information contact:  Dr. Jenny Du | | 5-2035

Friday, Dec 4, 2020 2:00 pm | 1 hour | (UTC-05:00) Central Time (US & Canada)
Meeting number: 120 002 4899
Password: sN2ZAiBmq36

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