Revitalizing Human-Robot Interaction

This book characterizes key technologies and applications of human-robot interaction in smart manufacturing and provide references for facilitating paradigm shift and the sustainable development of human-machine interaction. It includes mainly four aspects: human motion perception and reconstruction, analysis of human motion, intuitive human-robot teleoperation based on IMU-based motion perception, and enhanced human-robot collaboration through motion estimation. Human-robot interaction has great potential for development based on key technologies for digitization, networking, and intelligentization. It is crucial to utilize the advantages of human to improve the human-robot system's capabilities. The book features detailed illustrations, informative tables, and research algorithms designed to facilitate understanding of complex concepts. These elements not only enhance the reading experience but also serve as valuable references for applied research and real-world implementation. The book will be useful for advanced students, researchers, engineers, developers, and entrepreneurs interested in human-robot interaction research and technologies.

Integrates human-robot motion perception, reconstruction, mapping, and interaction in context of smart manufacturing Empowers innovations in human-robot interaction from the perspective of teleoperation and collaboration Enhances human-centric principles for human-robot interaction

Autorentext

Huiying Zhou received the Ph.D. degree in mechanical engineering at the School of Mechanical Engineering, Zhejiang University, Hangzhou, China, in 2023. She works as a post-doc researcher at Zhejiang University and Dongfang Electric (Hangzhou) Innovation Institute Co., Ltd. Her research interests include human-cyber-physical system, robot, human-robot interaction, and smart manufacturing. Geng Yang (Member, IEEE) received the B.Eng. and M.Sc. degrees in instrument science and engineering from the College of Biomedical Engineering and Instrument Science, Zhejiang University (ZJU), Hangzhou, China, in 2003 and 2006, respectively, and the Ph.D. degree in electronic and computer systems from the Department of Electronic and Computer Systems, the Royal Institute of Technology (KTH), Stockholm, Sweden, in 2013. From 2013 to 2015, he was a Postdoctoral Researcher with the iPack VINN Excellence Center, the School of Information and Communication Technology, KTH. He is currently a Professor with the School of Mechanical Engineering, ZJU. His research interests include bio-inspired flexible and stretchable sensors for robot sensing and human-robot interaction, focusing on key enabling technologies for Human-Cyber-Physical-System. He is the Associate Editor of IEEE Journal of Biomedical and Health Informatics, IEEE Review in Biomedical Engineering and Bio-Design and Manufacturing. Baicun Wang, is a research professor at the School of Mechanical Engineering, Zhejiang University, China. From 2016 to 2020, he worked as a postdoctoral researcher at Chinese Academy of Engineering, China, and University of Michigan, Ann Arbor, USA. His main research interests include intelligent manufacturing, human-cyber-physical systems, as well as industrial and systems engineering. Na Dong received the Ph.D. degree in materials processing engineering at Harbin Institute of Technology, Harbin, China, in 2010. She is currently the deputy general manager of Dongfang Electric Academy of Science and Technology Co., Ltd. and the general manager of Dongfang Electric (Hangzhou) Innovation Institute Co., Ltd. Her research interests include robot and smart manufacturing.

Inhalt

Introduction.- Inertial Measurement Unit (IMU)-based human motion perception.- Intuitive human-robot teleoperation based on IMU-based motion perception.- Enhanced human-robot collaboration through motion estimation.- Conclusion and future work.