RiTA 2020: Proceedings of the 8th International Conference on Robot Intelligence Technology and Applications (Lecture Notes in Mechanical Engineering)

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. From the Back Cover 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. About the Author 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, shaping the 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 Lough