Robot Learning Human Skills and Intelligent Control Design
In the last decades robots are expected to be of increasing intelligence to deal with a large range of tasks. Especially, robots are supposed to be able to learn manipulation skills from humans. To this end, a number of learning algorithms and techniques have been developed and successfully implemented for various robotic tasks. Among these methods, learning from demonstrations (LfD) enables robots to effectively and efficiently acquire skills by learning from human demonstrators, such that a robot can be quickly programmed to perform a new task.This book introduces recent results on the development of advanced LfD-based learning and control…
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Noch nicht erschienen, Juni 2021
Produktdetails
Weitere Autoren: Zeng, Chao / Zhang, Jianwei
- ISBN: 978-1-00-039520-4
- EAN: 9781000395204
- Produktnummer: 35450913
- Verlag: Taylor & Francis Ltd.
- Sprache: Englisch
- Erscheinungsjahr: 2021
- Seitenangabe: 184 S.
- Plattform: EPUB
- Abbildungen: 131 schwarz-weiße Abbildungen, 45 schwarz-weiße Fotos, 86 schwarz-weiße Zeichnungen, 9 schwarz-weiße Tabellen
Über den Autor
Chenguang Yang is a Co-Chair of the Technical Committee on Collaborative Automation for Flexible Manufacturing (CAFM), IEEE Robotics and Automation Society and Co-Chair of the Technical Committee on Bio-mechatronics and Bio-robotics Systems (B2S), IEEE Systems, Man, and Cybernetics Society. Chao Zeng is currently a Research Associate at the Institute of Technical Aspects of Multimodal Systems, Universität Hamburg. Jianwei Zhang is the director of TAMS, Department of Informatics, Universität Hamburg, Germany.
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