Human-in-the-loop Learning and Control for Robot Teleoperation
Language: English
Published by Elsevier Inc Apr 2023, 2023
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Neuware - Human-in-the-loop Learning and Control for Robot Teleoperation presents recent, research progress on teleoperation and robots, including human-robot interaction, learning and control for teleoperation with many extensions on intelligent learning techniques. The book integrates cutting-edge research on learning and control algorithms of robot teleoperation, neural motor learning control, wave variable enhancement, EMG-based teleoperation control, and other key aspects related to robot technology, presenting implementation tactics, adequate application examples and illustrative interpretations. Robots have been used in various industrial processes to reduce labor costs and improve work efficiency. However, most robots are only designed to work on repetitive and fixed tasks, leaving a gap with the human desired manufacturing effect.
Seller Inventory # 9780323951432
- Title
- Human-in-the-loop Learning and Control for Robot Teleoperation
- Author
- Chenguang Yang
- Publisher
- Elsevier Inc Apr 2023
- Publication year
- 2023
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 0323951430
- ISBN 13
- 9780323951432
- Item weight
- 364 grams
- Dimensions
- 229x152x14 mm
Human-in-the-loop Learning and Control for Robot Teleoperation presents recent, research progress on teleoperation and robots, including human-robot interaction, learning and control for teleoperation with many extensions on intelligent learning techniques. The book integrates cutting-edge research on learning and control algorithms of robot teleoperation, neural motor learning control, wave variable enhancement, EMG-based teleoperation control, and other key aspects related to robot technology, presenting implementation tactics, adequate application examples and illustrative interpretations.
Robots have been used in various industrial processes to reduce labor costs and improve work efficiency. However, most robots are only designed to work on repetitive and fixed tasks, leaving a gap with the human desired manufacturing effect.
- Introduces research progress and technical contributions on teleoperation robots, including intelligent human-robot interactions and learning and control algorithms for teleoperation
- Presents control strategies and learning algorithms to a teleoperation framework to enhance human-robot shared control, bi-directional perception and intelligence of the teleoperation system
- Discusses several control and learning methods, describes the working implementation and shows how these methods can be applied to a specific and practical teleoperation system
"Synopsis" may belong to another edition of this title.
About the Author
Dr. Jing Luo is currently an Associate Professor with Wuhan Institute of Technology. He received his Ph.D. degree in control science and engineering from the South China University of Technology in 2020. His research interests include robots control, teleoperation and human-robot interaction.
Dr. Ning Wang is a Senior Lecturer of Robotics with the Bristol Robotics Laboratory, University of the West of England, United Kingdom. She received her M.Phil. and Ph.D. degrees in electronics engineering from the Department of Electronics Engineering, The Chinese University of Hong Kong, Hong Kong, in 2007 and 2011, respectively. Ning has rich project experience, she has been key member of EU FP7 Project ROBOT-ERA, EU Regional Development Funded Project ASTUTE 2020 and industrial projects with UK companies.
"About the title" may belong to another edition of this title.
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