CCDC 2023
20-22 May


Prof. Magnus Egerstedt

University of California, Irvine,USA


Dr. Magnus Egerstedt is the Dean of Engineering and a Professor in the Department of Electrical Engineering and Computer Science at the University of California, Irvine. Prior to joining UCI, Egerstedt was on the faculty at the Georgia Institute of Technology. He received the M.S. degree in Engineering Physics and the Ph.D. degree in Applied Mathematics from the Royal Institute of Technology, Stockholm, Sweden, the B.A. degree in Philosophy from Stockholm University, and was a Postdoctoral Scholar at Harvard University. Dr. Egerstedt conducts research in the areas of control theory and robotics, with particular focus on control and coordination of multi-robot systems. Magnus Egerstedt is the President-elect of the IEEE Control Systems Society, a Fellow of IEEE and IFAC, and a member of the Royal Swedish Academy of Engineering Science. He has received a number of teaching and research awards, including the Ragazzini Award, the O. Hugo Schuck Best Paper Award, the Outstanding Doctoral Advisor Award and the Outstanding Teacher Award from Georgia Tech, and the Alumni of the Year Award from the Royal Institute of Technology.

Fundamental Challenges for the Deployment of Autonomous System in Industrial Applications and Urban Environments

Prof. Eduardo Nebot

University of Sydney, Australia


During the last 15 years, we have seen significant progress in many areas related to sensing, navigation, control, planning and machine learning. Fundamental research contributions in these areas have enabled the development and deployment of autonomous system in various domains such as mining, stevedoring, and agriculture to name a few. This keynote will present the fundamental problems that have been addressed to enable the successful deployment of robotic automation in industrial environments. It will also present current projects in the intelligent transport system (ITS) area and an overview of the fundamental research challenges facing future autonomous applications in more complex scenarios, such as urban vehicle automation.


Eduardo Mario Nebot received the Bachelor's degree in Electrical Engineering from the Universidad Nacional del Sur, (Argentina) and MS and PhD degrees from Colorado State University, USA. He is a Fellow of IEEE and FTSE.

He is a Professor at the University of Sydney in the School of Aerospace, Mechanical and Mechatronic Engineering. He has been appointed as the Patrick Chair of Automatic and logistic in 2004 and he has been the Director of the Australian Centre for Field Robotics from 2011-2020. He is now an Emeritus professor and leading the Intelligent Transport Group at ACFR.

Professor Nebot has a substantial track record in robotics and automation. He has published more than 300 Referee Conference and Journal publications and given a large number of keynotes and industrial presentations. The major impact of his fundamental research is in autonomous system, navigation, mining safety and Intelligent Transport Systems.

Over the past 20 years, he has managed a large number industrial collaboration research projects in the area of Field Robotics. His fundamental research contributions are having a significant impact in the profession. They are already part of new key autonomous technologies deployed in various industrial environments such as mining, stevedoring, cargo handling and urban road vehicles. His research group is having an active role in the deployment of new innovative technology in the intelligent transport area involving smart vehicles.

Prof. Marios M. Polycarpou

University of Cyprus, Cyprus


Dr. Marios Polycarpou is a Professor of Electrical and Computer Engineering and the Director of the KIOS Research and Innovation Center of Excellence at the University of Cyprus. He is also a Member of the Cyprus Academy of Sciences, Letters, and Arts, and an Honorary Professor of Imperial College London. He received the B.A degree in Computer Science and the B.Sc. in Electrical Engineering, both from Rice University, USA in 1987, and the M.S. and Ph.D. degrees in Electrical Engineering from the University of Southern California, in 1989 and 1992 respectively. His teaching and research interests are in intelligent systems and networks, adaptive and learning control systems, fault diagnosis, machine learning, and critical infrastructure systems. Dr. Polycarpou has published more than 400 articles in refereed journals, edited books and refereed conference proceedings, and co-authored 7 books. He is also the holder of 6 patents. Prof. Polycarpou received the 2016 IEEE Neural Networks Pioneer Award. He is a Fellow of IEEE and IFAC and the recipient of the 2014 Best Paper Award for the journal Building and Environment (Elsevier). He served as the President of the IEEE Computational Intelligence Society (2012-2013), as the President of the European Control Association (2017-2019), and as the Editor-in-Chief of the IEEE Transactions on Neural Networks and Learning Systems (2004-2010). Prof. Polycarpou currently serves on the Editorial Boards of the Proceedings of the IEEE, the Annual Reviews in Control, and the Foundations and Trends in Systems and Control. His research work has been funded by several agencies and industry in Europe and the United States, including the prestigious European Research Council (ERC) Advanced Grant, the ERC Synergy Grant and the EU Teaming program. Prof. Polycarpou is the recipient of the 2023 IEEE Frank Rosenblatt Award (Technical Field Award).

Prof. Yaonan Wang

Hunan University, China


Prof. Yaonan Wang , academician of the Chinese Academy of Engineering, expert in robotics and intelligent control, professor and doctoral supervisor of Hunan University, the director of the National Engineering Research Center of robot visual perception and control technology. He is  Committee member of China Association for Science and Technology, director of China Society of Image and Graphics(CSIG), member of the Chinese Association of Automation (CAA) , China Computer Federation (CCF), Chinese Association of Artificial Intelligence(CAAI), vice director of the National Intelligent Robot Innovation Alliance, standing director of CAA, supervisor of CAAI, member of Artificial Intelligence and Blockchain Technology Committee of Science and Technology Commission of Ministry of education, director of Hunan automation society. He was the dean of College of Electrical and Information Engineering and College of Robotics of Hunan University, a principal expert of the National 863 Program in the field of intelligent robots, and the chief scientist of an international cooperation major project under EU's Fifth Framework. 

He has been engaged in research and teaching in the field of robot perception and control technology for 30 years. He has won 1 Second Class Prize of State Technological Invention Award, 4 Second Class Prizes of The State Scientific and Technological Progress Award, IEEE Transactions on Automation Science and Engineering Best New Application Paper Award from IEEE Robotics and Automation Society, and 11 first class prizes at provincial and ministerial level. He has published more than 200 SCI indexed papers and 15 books in the field of robot perception and control technology, and he is the holder of more than 90 national invention patents. He has supervised more than 70 doctoral students, and was selected as a member of the national talent project and a Humboldt scholar in Germany. He won the honorary titles of outstanding teachers in the national universities, the National Labor Medal, the national advanced workers, the National Innovation Award, Advanced Individual in National Textbook Construction, and Hunan's resistance to COVID-19's advanced individuals.