RiTA 2020 : Proceedings of the 8th International Conference on Robot Intelligence Technology and Applications. Cet article n’est pas disponible.RiTA 2020 : Proceedings of the 8th International Conference on Robot Intelligence Technology and Applications

This book gathers the Proceedings of the 8th International Conference on Robot Intelligence Technology and Applications (RITA 2020). The areas covered include: Instrumentation and Control, Automation, Autonomous Systems, Biomechatronics and Rehabilitation Engineering, Intelligent Systems, Machine Learning, Mobile Robotics, Social Robotics and Humanoid Robotics, Sensors and Actuators, and Machine Vision, as well as Signal and Image Processing. As a valuable asset, the book offers researchers and practitioners a timely overview of the latest advances in robot intelligence technology and its applications.

Professor Junmo Kim received the B.S. degree from Seoul National University, Seoul, Korea in 1998, and the M.S. and Ph.D. degrees from the Massachusetts Institute of Technology (MIT), Cambridge in 2000 and 2005 respectively. From 2005 to 2009, he was with the Samsung Advanced Institute of Technology (SAIT), Korea, as a Research Staff Member. He joined the faculty of KAIST in 2009, where he is currently an Associate Professor of electrical engineering. His research interests are in image processing, computer vision, statistical signal processing, and information theory.

Professor Jong-Hwan Kim (FIEEE'09) received the Ph.D. degree in electronics engineering from Seoul National University, Korea, in 1987. Since 1988, he has been with the School of Electrical Engineering, KAIST, Korea, where he is leading the Robot Intelligence Technology Laboratory as Professor. Dr. Kim is Director for both of KoYoung-KAIST AI Joint Research Center and Machine Intelligence and Robotics Multi-Sponsored Research and Education Platform. His research interests include intelligence technology, machine intelligence learning, and AI robots. He has authored 5 books and 5 edited books, 2 journal special issues and around 400 refereed papers in technical journals and conference proceedings.

Professor Jon Platts is the Dean of Cardiff School of Technologies at Cardiff Metropolitan University and Professor of Autonomous Systems. Jon took up this role following careers in the UK Royal Air Force and industry research and development. He has had commercial success with his own company Muretex, winning significant, nationally competed, research grant funding; including Innovate UK funding for Robotics and Autonomous Systems. He has international contacts and reach, having proposed and chaired 2 European research action groups over 8 years and been invited to deliver a NATO lecture series on autonomy. Jon was the Head of Autonomy for QinetiQ for 13 years, shapingthe direction of research programmes and co-ordinating multi-organisation teams (from QinetiQ, Dstl, BAE Systems, Thales UK, the Military and Academia) and multi-disciplinary teams. In his current role Jon leads the ambitious multi-million pound Cardiff School of Technologies development, to further establish Cardiff Metropolitan University as a world leader within the tech industry. Teaching and research will focus on areas such as data science, cyber security, mobile computing, artificial intelligence and autonomous systems engineering. Jon holds a BEng in Electrical and Electronic Engineering from the University of Bradford, an MSc in Aerosystems Engineering and a PhD in Self organising fuzzy logic, both from Loughborough University. He is a Chartered Engineer and Fellow of the Institution of Engineering and Technology and a member of both the Institution of Measurement and Control and the International Council on Systems Engineering.

Pengcheng Liu received the B.Eng. degree in measurement and control and the M.Sc. degree in control theory and control engineering from Zhongyuan University of Technology, China, in 2007 and 2012, respectively, and the Ph.D. degree in robotics and control from Bournemouth University, UK, in 2017. He is currently a Lecturer (Tenured Assistant Professor) at the Department of Computer Science, University of York, UK. Before joining York, he has held several academic positions including a Senior Lecturer at Cardiff School of Technologies, Cardiff Metropolitan University, UK, a joint Research Fellowship at Lincoln Centre for Autonomous Systems (LCAS) and Lincoln Institute of Agri-Food Technology (LIAT), University of Lincoln, UK, a Research Assistant and a Teaching Assistant at Bournemouth University, UK, and a Lectureship at Zhongyuan University of Technology, China. He also held academic positions as a Visiting Fellow at Institute of Automation, Chinese Academy of Sciences, China and Shanghai Jiao Tong University, China. He is a member of IEEE, IEEE Robotics and Automation Society (RAS), IEEE Control Systems Society (CSS) and International Federation of Automatic Control (IFAC). He is also a member of the IEEE Technical Committee on Bio Robotics, Soft Robotics, Robot Learning, and Safety, Security and Rescue Robotics. He is an Associate Editor of IEEE Access and he received the Global Peer Review Awards from Web of Science in 2019, and the Outstanding Contribution Awards from Elsevier in 2017. He has published over 60 papers on flagship journals and conferences. He was nominated as a regular Funding/Grants reviewer for EPSRC, NIHR and NSFC and he has been leading and involving in several research projects and grants, including EPSRC, Newton Fund, Innovate UK, Horizon 2020, Erasmus Mundus, FP7-PEOPLE, NSFC, etc. He serves as reviewers for over 30 flagship journals and conferences in robotics, AI and control, e.g NEUNET, NODY, JINT, ICRA, IROS, RA-L, NCAA, etc. His research interests include robotics, machine learning, dynamical systems control and optimization.

Esyin Chew is the founder of EUREKA Robotics Lab and also the Programme Director for MEng-BEng Robotics Engineering (Reader in Robotics and Educational Technologies) at the Cardiff Metropolitan University, UK. Chew is researching and designing social-service humanoid robotics for healthcare, hospitality and STEAM education. The UK Parliament Artificial Intelligence Select Committee published her expert viewpoint on the implications of AI, titled: "What are the implications of artificial intelligence? In Love and War. Esyin's discussion of the robotics education and skills provision for the Fourth industrial revolution has also attracted international interest as published by the UK Parliment Education Committee. Specialising in advanced technologies and data visualisation, Esyin provides consultancy and training workshops such as humanoid robotics, online assessment & feedback, data harvesting, visualisation and analytics. She facilitated institutional blended learning implementations, staff development, technology enhanced assessment & feedback best practices / policy development in Wales and Malaysia. Esyin has acted as an invited reviewer for various high profile academic journals and as a keynote speaker for international conferences in robotics, AI and educational technology disciplines. She worked in Monash University Malaysia, University of South Wales and University of Malaya. Prior to her academic career, Esyin was a software engineer in Acer Group and eBusiness Ltd.

Anwar P.P. Abdul Majeed graduated with a first-class honours B.Eng. in Mechanical Engineering from Universiti Teknologi MARA (UiTM), Malaysia. He obtained an MSc. in Nuclear Engineering from Imperial College London, United Kingdom. He then received his PhD in Rehabilitation Robotics from the Universiti Malaysia Pahang (UMP). He is currently serving as a senior lecturer and the Head of Programme (Bachelor of Manufacturing Engineering Technology (Industrial Automation)) at the Faculty of Manufacturing and Mechatronics Engineering Technology, UMP. Dr Anwar is a Chartered Engineer, registered with the Institute of Mechanical Engineers (IMechE), UK, a Member of the Institute of Engineering and Technology (IET), UK as well as a Member of the Institute of Electrical and Electronics Engineers (IEEE). He is an active research member at the Innovative Manufacturing, Mechatronics and Sports Laboratory (iMAMS), UMP. His research interest includes rehabilitation robotics, computational mechanics, applied mechanics, sports engineering, renewable and nuclear energy, sports performance analysis as well as machine learning. He has authored over 60 papers in different journals, conference proceedings as well as books. He serves as a reviewer in a number of prolific journals such as IEEE Access, Frontiers in Bioengineering and Biotechnology, SN Applied Sciences, PeerJ Computer Science, Applied Computing and Informatics amongst others. He has also served as a Guest Editor for SN Applied Sciences as well as an Editor for several Springer book series. Dr Anwar is also an affiliate member with the Young Scientists Network of the Academy of Sciences Malaysia (YSN - ASM).

Prof. Hyun Myung received the B.S., M.S., and Ph.D. degrees in electrical engineering from the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, in 1992, 1994, and 1998, respectively. He was a Senior Researcher with the Electronics and Telecommunications Research Institute, Daejeon, from 1998 to 2002, a CTO and the Director with the Digital Contents Research Laboratory, Emersys Corporation, Daejeon, from 2002 to 2003, and a Principle Researcher with the Samsung Advanced Institute of Technology, Yongin, Korea, from 2003 to 2008. Since 2008, he has been a Professor with the Department of Civil and Environmental Engineering, KAIST, and he is the Head of the KAIST Robotics Program. From 2019, he is a Professor with the School of Electrical Engineering. He led the development of the world-first robots such as JEROS (Jellyfish removal robot) and CAROS (wall-climbing drones). He received the Prime Minister's Citation Award at 2018 Nat'l Science Day, and 2015 KAIST Top 10 Research Accomplishment Award. He is the Senior Member of IEEE since 2015. His current research interests include autonomous robot navigation, SLAM (simultaneous localization and mapping), SHM (structural health monitoring), machine learning, AI, and swarm robots.