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ICAIR 2023 : 8th International Conference on Artificial Intelligence and Robotics (ICAIR 2023)


When Jul 13, 2023 - Jul 15, 2023
Where Hongkong, SAR, China
Submission Deadline Jun 15, 2023
Categories    robotics   control   engineering   mechanical engineering

Call For Papers

8th International Conference on Artificial Intelligence and Robotics (ICAIR 2023)
July 13-15, 2023 | Hongkong, SAR, China

8th International Conference on Artificial Intelligence and Robotics (ICAIR 2023), which is in conjunction with the 8th International Conference on Automation, Control and Robotics Engineering (CACRE 2023), the ICAIR 2023 is co-organized by The Hong Kong University of Science and Technology (HKUST) and Hong Kong Society of Mechanical Engineers(HKSME), technical sponsored by IEEE Robotics and Automation Society, Xi'an Jiaotong University, Sichuan University, Dalian Maritime University, Xidian University, South China University of Technology and The Automation Society of Guangzhou. The conference will be held at Hong Kong from July 13 to 15, 2023.

●Publication and Indexing
All the registered and presented papers will be published in the volume of The Conference Proceeding of CACRE , the publisher will submit articles to Engineering Village, Scopus, Web of Science and other databases for review and indexing after publication.

Prof. Hugh H.T. Liu
University of Toronto, Canada
Hugh H.T. Liu is a Professor of the University of Toronto Institute for Aerospace Studies, where he has been on the faculty since 2000. He currently also serves as the Director of Natural Science and Engineering Research Council of Canada (NSERC) Collaborative Research and Training Experience (CREATE) Program on Unmanned Aerial Vehicles and Centre for Aerial Robotics Research and Education. In 2022, he was named as the fellow of Canadian Academy of Engineering. The Canadian Aeronautics and Space Institute (CASI) Senior Awards recognizes Canadians for their outstanding achievement in aeronautics, space and related technologies. For the 2021 Senior Awards, Professor Hugh H.T. Liu was awarded the CASI McCurdy Award, presented for his outstanding achievement in the science and creative aspects of engineering relating to aeronautics and space research.

Prof. Jie Chen
The City University of Hong Kong, China
Dr. Chen currently holds the appointment of Chair Professor of Electronic Engineering at City University of Hong Kong, Hong Kong, China.An elected Fellow of IEEE, Fellow of AAAS, Fellow of IFAC, and a Yangtze Scholar/Chair Professor of China, Dr. Chen was a recipient of 1996 US National Science Foundation CAREER Award, 2004 SICE International Award, and 2006 Natural Science Foundation of China Outstanding Overseas Young Scholar Award. He was on a number of journal editorial boards, serving as an Associate Editor and a Guest Editor for the IEEE Transactions on Automatic Control, a Guest Editor for IEEE Control Systems Magazine, an Associate Editor for Automatica, Journal of Control Theory and Applications, and the founding Editor-in-Chief for Journal of Control Science and Engineering. He is currently an Associate Editor for SIAM Journal on Control and Optimization, and for All about Systems and Control. He was an IEEE Control Systems Society (CSS) Distinguished Lecturer, and served in different capacities for IEEE CSS, on the IEEE CSS Board of Governors, as an IEEE CSS Chapter Activities Chair, and a member on the IEEE CSS Fellow Evaluation Committee. Currently, he serves on the IFAC Publication Committee and the IFAC Fellow Search Committee.

Prof. Kenji Fujimoto
Kyoto University, Japan
Kenji Fujimoto received his B.Sc. and M.Sc. degrees in Engineering and Ph.D. degree in Informatics from Kyoto University, Japan, in 1994, 1996 and 2001, respectively. He is currently a professor of Graduate School of Engineering, Kyoto University, Japan. From 1997 to 2004 he was a research associate of Graduate School of Engineering and Graduate School of Informatics, Kyoto University, Japan. From 2004 to 2012 he was an associate professor of Graduate School of Engineering, Nagoya University, Japan. From 1999 to 2000 he was a research fellow of Department of Electrical Engineering, Delft University of Technology, The Netherlands. He has held visiting research positions at the Australian National University, Australia and Delft University of Technology, The Netherlands, and RIKEN, Japan. He received The IFAC Congress Young Author Prize in IFAC World Congress 2005 and SICE Control Division Pioneer Award in 2007. He served as associate editors of IEEE Transactions on Automatic Control, IEEE CSS Conference Editorial Board, and SICE Journal of Measurement, Control, and System Integration. His research interests include nonlinear control and stochastic systems theory.

Prof. Shaojie Shen
The Hong Kong University of Science and Technology, Hong Kong, China
Prof Shaojie Shen received his BEng degree in Electronic Engineering (Honors Research Option) from the Hong Kong University of Science and Technology in 2009. He received his MS in Robotics and PhD in Electrical and Systems Engineering in 2011 and 2014, respectively, all from the University of Pennsylvania. He joined the Department of Electronic and Computer Engineering at the Hong Kong University of Science and Technology in September 2014 as an Assistant Professor. His research interests are in the areas of robotics and unmanned aerial vehicles, with focus on state estimation, sensor fusion, localization and mapping, and autonomous navigation in complex environments. His work has been covered by major media outlets such as TED, ABC, The New Yorker, and Discovery Channel.

Prof. Zhengkun Yi
Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China
Zhengkun Yi is currently a full professor in Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences. He received the B.S. degree from University of Science and Technology of China (USTC) the M.E. degree from Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences and the Ph.D. degree from Nanyang Technological University (NTU) and Technische Universitaet Darmstadt (TUD). He was a postdoctoral fellow at Nanyang Technological University and National University of Singapore. His research interests include tactile sensing, robot learning, machine learning computer vision, etc. He has authored/co-authored more than 30 peer reviewed journal and conference papers, including IEEE-TIE, IEEE-TSMC, IEEE-TASE, etc. He received the NSFC excellent young scholar (overseas), the best student paper award in IEEE RCAR 2022. He is an associate editor for IEEE RAL and serves as publicity chair of IEEE RCAR 2021.

Prof. Wencen Wu
San Jose State University, USA
Wencen Wu is an Associate Professor in the Computer Engineering Department at San Jose State University. Prior to joining SJSU in Fall 2018, she was an Assistant Professor in the ECSE department of Rensselaer Polytechnic Institute. She received her Ph.D. and M.S. from the Georgia Institute of Technology, and the dual-M.S. and B.S. from Shanghai Jiao Tong University. Her research interests include cooperative control and sensing for multi-robot systems and state estimation and parameter identification for distributed parameter systems in the senarios of multi-robot exploration in complex environments with limited resources. She has published over 50 peer-reviewed research papers on journals and conferences in the areas of systems and control theory and robotics. She is the PI of several U.S. National Science Foundation (NSF) funded projects. She has served as program committee member for many IEEE international conferences.

Prof. Fei Miao
University of Connecticut, USA
Fei Miao is an Assistant Professor of the Department of Computer Science & Engineering, a Courtesy Faculty of the Department of Electrical & Computer Engineering, University of Connecticut since 2017. She is also affiliated to the Institute of Advanced Systems Engineering and Eversource Energy Center. She will be promoted to associate professor with tenure in Fall 2023. She was a postdoc researcher at the GRASP Lab and the PRECISE Lab of the University of Pennsylvania from 2016 to 2017. She received the Ph.D. degree and the Best Doctoral Dissertation Award in Electrical and Systems Engineering, with a dual M.S. degree in Statistics from the University of Pennsylvania in 2016. She received the B.S. degree in Automation from Shanghai Jiao Tong University. Her research focuses on multi-agent reinforcement learning, robust optimization, uncertainty quantification, and control theory, to address safety, efficiency, robustness, and security challenges of cyber-physical systems, for application areas such as connected autonomous vehicles, intelligent transportation systems, transportation decarbonization, and smart cities. Dr. Miao is a receipt of the NSF CAREER award and a couple of other awards from NSF and DOE. She received the Best Paper Award and Best Paper Award Finalist at the 12th and 6th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS) in 2021 and 2015, Best paper Award at the 2023 AAAI DACC workshop, respectively.

●Special Sessions
Special Session I: Soft Robotics
Session Chair: Prof. Guimin Chen, Xi'an Jiaotong University, China

Special Session II: Key technologies and applications of cable-driven and rigid parallel robots
Session Chair: Prof. Zhufeng Shao, Tsinghua University, China
Rigid parallel robots
Cable-driven parallel robots
Rigid-flexible coupled robots
Configuration innovation and synthesis
Design and optimization methodology
Kinematics and dynamics
Trajectory planning
Motion control
Experimental evaluation
Prototypes and applications

Special Session III: Rehabilitation robotics
Session Chair: Prof. Meng Qiaoling, University of Shanghai for Science and Technology, China
Dr. Tang Hongyan, University of Shanghai for Science and Technology, China

including but not limited:
Robotics Science and Engineering & Control
Artificial Intelligence:
-Networked and Distributed Intelligent Control
-Real Time Supervisory Control
-Adaptive Control Systems
-Embedded Systems
-Mobile and Autonomous Systems
-Virtual Systems
-Multi-Agent Collaborative Systems (MACS)
-Biorobotics, Biomechatronics
-Space and Underwater Robotics
-Cooperative and Network Robotics
-Entertainment Robotics
-Rescue Robotics
-Agriculture and Field Robotics
-Service and Security Robotics
-Biped and Humanoid Robots
-Human-Machine Interfaces and Interaction
-Factory and Home Automation
-Robotics and Industrial Monitoring
-Simulation and Modelling of Robotic Systems
-Novel Robotic Locomotion
-Navigation, Mapping and Path Planning
-Tele-robotics and Tele-operation
-Fuzzy Systems, Neuro-Fuzzy Systems
-Artificial Neural Networks in robotics or automation
-Artificial Intelligence in Biosystems
-Genetic Algorithm (GA)
-Evolutionary Computation (EC) and Algorithms
-DNA Computing for Autonomous Agents
-Environmental and Food sensors
-Vision Systems for Automation and Robotics
-Smart Sensors and Sensor Fusion
-Implantable Sensors for Robotic Applications
-Sensors for Factory and Home Automation
-Instrumentation for Robotics and Automation
-Virtual Systems for Training and Education
-Mechatronics or Robotics Education
- Applications
- Brain models, Brain mapping, Cognitive science
- Natural language processing
- Fuzzy logic and soft computing
- Software tools for AI
- Expert systems
- Decision support systems- Automated problem solving
- Knowledge discovery
- Knowledge representation
- Knowledge acquisition
- Knowledge-intensive problem solving techniques
- Knowledge networks and management
- Intelligent information systems
- Intelligent data mining and farming
- Intelligent web-based business
- Intelligent agents
- Intelligent networks
- Intelligent databases
- Intelligent user interface
- AI and evolutionary algorithms
- Intelligent tutoring systems
- Reasoning strategies
- Distributed AI algorithms and techniques
- Distributed AI systems and architectures
- Neural networks and applications
- Heuristic searching methods
- Languages and programming techniques for AI
- Constraint-based reasoning and constraint programming
- Intelligent information fusion
- Learning and adaptive sensor fusion
- Search and meta-heuristics
- Multisensor data fusion using neural and fuzzy techniques
- Integration of AI with other technologies
- Evaluation of AI tools
- Social intelligence (markets and computational societies)
- Social impact of AI
- Emerging technologies

Visit for more

●Submission Method
Electronical Submission System

1) Manuscripts must be written in English
2) The manuscript should be written in accordance with the standard of template
3) The topics of paper should be relevant to conference topics
4) Plagiarism is prohibited
5) Duplicate submission is prohibited
6) Only unpublished original manuscript will be submitted for peer review

●Call for participants
1.Presenter: If you are interested in presenting your research on the conference, without publishing your paper in the proceeding, please submit the abstract to us.
2.Listener: You need to complete the registration as Listener before the registration deadline. Send email to for further information.
3.Reviewer: We sincerely welcome experts in the areas of Information Technologies and Robotics join the conference as reviewer.

●Contact Us:
Ms. Amber Cao
WeChat: HKSME15756362251

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