Prof. Derong Liu (IEEE / IAPR / INNS /
University of Illinois at Chicago, USA / Guangdong University of Technology, China
Derong Liu received the Ph.D. degree in electrical engineering from the University of Notre Dame in 1994. He was a Staff Fellow with General Motors Research and Development Center, from 1993 to 1995. He was an Assistant Professor with the Department of Electrical and Computer Engineering, Stevens Institute of Technology, from 1995 to 1999. He joined the University of Illinois at Chicago in 1999, and became a Full Professor of Electrical and Computer Engineering and of Computer Science in 2006. He was selected for the “100 Talents Program” by the Chinese Academy of Sciences in 2008, and now he serves as the Associate Director of The State Key Laboratory of Management and Control for Complex Systems at the Institute of Automation. He has published 15 books (six research monographs and nine edited volumes). He is an elected AdCom member of the IEEE Computational Intelligence Society and he is the Editor-in-Chief of the IEEE Transactions on Neural Networks and Learning Systems. He was the General Chair of 2014 IEEE World Congress on Computational Intelligence and is the General Chair of 2016 World Congress on Intelligent Control and Automation. He received the Faculty Early Career Development Award from the National Science Foundation in 1999, the University Scholar Award from University of Illinois from 2006 to 2009, and the Overseas Outstanding Young Scholar Award from the National Natural Science Foundation of China in 2008. He is a Fellow of the IEEE, the International Neural Network Society (INNS), International Association for Pattern Recognition (IAPR), and Chinese Association of Automation (CAA).
Prof. Beom Hee Lee (IEEE & ICROS
Seoul National University, South Korea
Professor Beom Hee Lee received his B.S.
and M.S. degrees in Electronics Engineering from Seoul
National University, Seoul, Korea in 1978 and 1980,
respectively, and his Ph.D. degree in Computer,
Information, and Control Engineering from the University
of Michigan, Ann Arbor, Michigan, USA in 1985. From 1985
to 1987, he was with the School of Electrical
Engineering at Purdue University, West Lafayette, IN,
USA, as an Assistant Professor. He joined Seoul National
University (SNU) in 1987, where he is currently a
Professor at the Department of Electrical and Computer
Engineering and the Director of the Robotics and
Intelligent Systems Lab at SNU. In 2001, he was the
Program Chairman of the IEEE International Conference on
Robotics and Automation (ICRA) in Seoul, Korea. Since
2004, he has been a Fellow of the IEEE Robotics and
Automation Society, and he was in charge of IEEE
Robotics and Automation Korea Chapter as the chairman
until 2015. He was the President of the Automation and
Systems Research Institute (ASRI) in SNU during
2004-2006, and the Dean of Information Technology in
SNU. He has served the Korea Robotics Society (KROS) as
the president in 2009. He was also in charge of the
Board of Directors of the Korea Institute of Patent
Information (KIPI) as the chairman. He has published
over 670 technical journal and conference papers mainly
in the field of Robotics and Automation. His current
interest includes multi-robot systems and applications,
Multi-robot collision avoidance, Multi-robot SLAM
problems and Underwater robotics.
Speech Title--Issues in Multi-Robot Applications
Speech Abstract--Nowadays, multi-robot operations are acknowledged as a common practice in industry for various tasks. State of the Art of Multi-Robot Systems are described in the first statement. Multi-robot research issues are then discussed in terms of the operational strategies: centralized, distributed, and mixed operational schemes. Next, we show that one of the main issues in multi-robot operation is the problem of collision avoidance. We also show the importance of the collision avoidance problem in multi-robot operations. For multi-robot collision avoidance, a special tool, called the collision map, is introduced and applied to the problem of multi-robot collision avoidance.
More deep analysis and investigation are presented for an application of the collision map. Various types of collision maps are then introduced with several possible applications. Also, robot path modification is viewed in terms of collision avoidance using the concept of collision map. Various applications using the collision map are presented for a problem of 100 multi-robot operations, a stealth intruder intercept scheme, and efficient multiple cleaning robots operation. Especially, the load balancing in multiple cleaning robots are realized using the collision map. Finally, future applications using multi-robot systems are briefly discussed.
Prof. Chun-Yi Su
Concordia University, Canada
Dr. Chun-Yi Su received his Ph.D. degrees in control engineering from South China University of Technology in 1990. After a seven-year stint at the University of Victoria, he joined the Concordia University in 1998, where he is currently a Professor of Mechanical and Industrial Engineering and holds the Concordia Research Chair in Control. He has also held several short-time visiting positions including a Chang Jiang Chair Professorship by China's Ministry of Education and JSPS Invitation Fellowship from Japan, and Qian Ren Talents Professor from China. His research covers control theory and its applications to various mechanical systems, with a focus on control of systems involving hysteresis nonlinearities. He is the author or co-author of over 400 publications, which have appeared in journals, as book chapters and in conference proceedings. In addition to his academic activities, he has worked extensively with industrial organizations on various projects. Dr. Su has been an Associate Editor of IEEE Transactions on Automatic Control, IEEE Transactions on Control Systems Technology, Mechatronics, Control Engineering Practice, and several other journals. He has served as Chair/Co-Chair for numerous international conferences.