Prof. Li, Han Xiong, IEEE Fellow, City University of Hong Kong, Hong Kong
Speech Title: Smart Sensing based Intelligent Modeling for Multi-scale Dynamic Systems
Biography: Han-Xiong LI (李涵雄) received his B.E. degree in aerospace engineering from the National University of Defence Technology, China, M.E. degree in electrical engineering from Delft University of Technology, Delft, The Netherlands, and Ph.D. degree in electrical engineering from the University of Auckland, Auckland, New Zealand.
Currently, he is a full professor in the Department of Systems Engineering and Engineering Management, the City University of Hong Kong. Over the last thirty years, he has had opportunities to work in different fields, including military service, investment, industry, and academia. He published over 190 SCI journal papers with h-index 36 (ISI web of science). He has been rated as highly cited Chinese scholar by Elsevier since 2014. His current research interests are in system intelligence and control, integrated process design and control, distributed parameter systems, intelligent learning and decision informatics.
Dr. Li serves as Associate Editor of IEEE Transactions on Systems, Man & Cybernetics: system (2016- ), IEEE Transactions on Cybernetics (2002-2016), and IEEE Transactions on Industrial Electronics (2009-2015). He was awarded the Distinguished Young Scholar (overseas) by the China National Science Foundation in 2004, a Chang Jiang professor by the Ministry of Education, China in 2006, and a national professorship in China Thousand Talents Program in 2010. He serves as the distinguished expert for Hunan Government and China Federation of Returned Overseas. He is a fellow of the IEEE.
Abstract: The "Made in China 2025" initiative will require full automation in all sectors, from customers to production. This will result in great challenges to manufacturing systems in all sectors. In the future of manufacturing, all devices and systems should have sensing and basic intelligence capabilities for control and adaptation. In this talk, multiscale dynamics of the modern manufacturing system will be discussed and the multi-phase integrated design methodology will be proposed. For a real-world application, sensing and modeling are always the essential steps towards the advanced control and operation. A smart sensing based integrated modeling will be presented for the jet dispensing process – a multi-time scale dynamic system in IC packaging industry. Finally, another intelligent method will be presented for effectively modelling of the space-time coupled dynamic systems, and applied to the thermal process widely existing in the industry.
Prof. Everett X. Wang, Guangdong University of Technology, China
Speech Title: Recent Progress in Robotics Bicycle for Ridesharing Applications
Biography: Everett X. Wang received the BS from Peking University in 1982. In 1986 he received the MS from Institute of Theoretical Physics, Academy of Sciences of China and Ph.D. from University of Texas at Austin in microelectronics in 1993. He then joined Intel Corporation as Sr. Engineer, Staff Engineer and Sr. Staff Engineer, working on stress modeling, quantum tunneling, quantum size effect, 3D mesh generation, hydrodynamic and Monte Carlo models. In 2000 he transferred to Photonic Technology Operation in Intel as a program manager for thermal optical switch products. In 2003 he joined Design Technology Service of Intel as team leader working on hole mobility under arbitrary stress using 2D quantum transport and Monte Carlo method. In 2006, he founded a high-tech startup for developing energy efficient transportation systems. Since 2011, he has been with Guangdong University of Technology as 100-talent-plan distinguished professor. Dr. Wang authored and co-authored 54 journal and conference papers. He also holds 34 approved and pending patents. Dr. Wang's interests include receiver and system design for global navigation satellite systems, transport models for advanced electron devices, modeling and control of robotic systems as well as deep learning in medical applications.
Abstract: Ridesharing of bicycles and electric scooters has surged in major cities all over the world, benefiting many commuters by improving efficiency, reducing congestion in road and reducing parking space. One of the main problems of the ridesharing is when riders have arrived at their destinations, they park their vehicles in their most convenient spots, often blocking traffic of the others. Riding bikes and scooters also requires substantial training time in order to be safe. With the rapid progress in robotic dynamics, control and computer vision, an intelligent self-balance, self-driving scooter can solve many problems facing ridesharing today. First, with sophisticated nonlinear dynamics, bicycle and scooter can be modelled accurately, allowing complex control scheme to be deployed for self-balancing, thus greatly improving safety. Second, using only low-cost sensors, such as ultrasonic and video camera, one can realize low speed self-driving when no rider is using the vehicle. This capability will deliver the vehicle to the needed rider from its designated park space autonomously and return to its charging station autonomously when rider has arrived at his destiny. This abstract will review the recent progress in scooter modeling and control, computer vision for navigation and obstacle avoidance as well as our currently prototype for the perfect ridesharing vehicle.
Prof. Chun-Yi Su, Concordia University, Canada
Speech Title: Modeling and Control of Hysteresis Nonlinearities in Smart Actuators: Magnetostrictive Actuator Case
Biography: 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. 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.
Abstract: Magnetostrictive actuators featuring high energy densities, large strokes and fast responses are playing an increasingly important role in micro/nano-positioning applications. However, such actuators with different input frequencies and mechanical loads exhibit complex dynamics and hysteretic behaviors, posing a great challenge on applications of the actuators. To this end, a comprehensive model is developed. According to the proposed hysteresis model, an inverse Asymmetric Shifted Prandtl-Ishlinskii (ASPI) Model is proposed for the purpose of compensating the hysteresis effect. However, in real systems, there always exists a modeling error between the hysteresis model and the true hysteresis. The use of an estimated hysteresis model in deriving the inverse compensator would yield some degree of hysteresis compensation error. To accommodate such a compensation error, an analytical expression of the inverse compensation error is derived first. Then, a prescribed adaptive control method is developed to suppress the compensation error and simultaneously guaranteeing global stability of the closed loop system with a prescribed transient and steady-state performance of the tracking error. The effectiveness of the proposed control scheme is validated on the magnetostrictive- actuated experimental platform.
Assoc. Prof. Xie Ming, Nanyang Technological University, Singapore
Speech Title: Key Steps Toward Development of Humanoid Robots
Biography: Xie Ming received the B.Eng degree in control and automation engineering. Subsequently, as a recipient of the overseas scholarship from Chinese government, he has completed the study for Master degree in the University of Valenciennes (France) as well as the research for PhD degree in the University of Rennes (France). He is Associate Professor of Nanyang Technological University, and was a Fellow with Singapore-MIT Alliance (SMA). He was the General Chair of 2007 International Conference on Climbing and Walking Robots (CLAWAR), the General Chair of 2009 International Conference on Intelligent Robotics and Applications (ICIRA), the Co-founder of the International Journal of Humanoid Robotics (SCI/SCIE indexed), Co-founder of Singapore-China Association for Advancement of Science and Technology, Co-founder of Robotics Society of Singapore. He has taught the courses such as Robotics, Artificial Intelligence, Applied Machine Vision, Measurement and Sensing Systems, Microprocessor Systems, and University Physics. In terms of scientific research, he has published two books, two edited books, several book chapters, over 10 patents of invention, over 30 research papers in scientific journals and over 100 research papers in international conferences. He was the recipient of one best conference paper award from World Automation Congress, the recipient of one best conference paper award from CLAWAR, the recipient of one outstanding paper award from International Journal of Industrial Robot, the recipient of one Gold Prize (S$8K) from CrayQuest, the recipient of one Grand Champion Prize (S$15K) from CrayQuest, the recipient of one A-Star's Best Research Idea Prize (S$5K), the recipient of one Silver Medal from Dragon Design Foundation.
Abstract: Since 1996, we have embarked into the journey of developing humanoid robots at Nanyang Technological University, Singapore. We have ventured into the various technical aspects of humanoid robot development. In particular, we have placed special emphasis on mechatronics design of humanoid robots, planning and control of biped walking, hand-eye coordination for humanoid robots, cognitive vision for humanoid robots, and cognitive speech for humanoid robots. From 2006 onward, several teams in Singapore have received a substantial amount of research grants and have developed together two full prototypes of humanoid robots, which are about 1.8 meters in height and weigh about 80 kg each. And, each humanoid robot has 42 degrees of freedom with independent actuations. In this keynote speech, I will share some findings and results related to the R&D works of humanoid robots in Singapore.