Advanced Teleoperation and Robot Learning for Dexterous Manipulation (Springer Tracts in Advanced Robotics, 160) - Softcover

Yang, Chenguang; Lu, Zhenyu; Wang, Ning

Softcover

ISBN 10: 3031785037 ISBN 13: 9783031785030

Verlag: Springer, 2026

Inhaltsangabe

This book offers an in-depth exploration of the interdisciplinary field of dexterous robotic manipulation, focusing on advanced methods that enable robots to autonomously learn, adapt, and perform a variety of tasks. It covers key topics such as teleoperation systems, advanced control frameworks, and bio-inspired autonomous learning. The book stands out by providing a comprehensive examination of both the technical and theoretical aspects of dexterous manipulation, with a particular emphasis on integrating advanced control and autonomous learning. The book is primarily aimed at researchers, engineers, and graduate students in the fields of robotics, artificial intelligence, and control systems. It is particularly useful for those interested in robotic manipulation, autonomous learning, and bio-inspired systems. The detailed technical explanations and cutting-edge research make it an essential resource for professionals seeking to push the boundaries of robotic dexterous manipulation. The book’s practical applications make it relevant for many real-world manipulation scenarios, including healthcare and manufacturing.

Über diesen Titel

Über die Autorin bzw. den Autor

Chenguang Yang is a young expert in robotics and control. He has made a number of significant achievements in robot control and was awarded the IEEE Transactions on Robotics Best Paper Award in 2011, WCICA conference Steve and Rosalind Hsia Best Biomedical Paper Award in 2014, and the IEEE ICIA Conference Best Paper Award in 2015.

Hongbin Ma has a strong academic background in control theory and application, and has been an active expert in robotics research and education. He is a recipient of the 13th Huo Ying Dong Young Teacher Award for Higher Education in 2012. His research interest covers adaptation, learning and recognition, especially adaptive estimation ¿as well as their applications in robots and autonomous systems.

Mengyin Fu is a professor of Cheung Kong Scholars Program, and famous expert in integrated navigation and intelligent navigation system. His research areas also cover image processing, machine learning and pattern recognition.

Von der hinteren Coverseite

This book offers an in-depth exploration of the interdisciplinary field of dexterous robotic manipulation, focusing on advanced methods that enable robots to autonomously learn, adapt, and perform a variety of tasks. It covers key topics such as teleoperation systems, advanced control frameworks, and bio-inspired autonomous learning. The book stands out by providing a comprehensive examination of both the technical and theoretical aspects of dexterous manipulation, with a particular emphasis on integrating advanced control and autonomous learning. The book is primarily aimed at researchers, engineers, and graduate students in the fields of robotics, artificial intelligence, and control systems. It is particularly useful for those interested in robotic manipulation, autonomous learning, and bio-inspired systems. The detailed technical explanations and cutting-edge research make it an essential resource for professionals seeking to push the boundaries of robotic dexterous manipulation. The book’s practical applications make it relevant for many real-world manipulation scenarios, including healthcare and manufacturing.

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2026
• Sprache: Englisch
• ISBN 10: 3031785037
• ISBN 13: 9783031785030
• Einband: Taschenbuch
• Anzahl der Seiten: 214
• Kontakt zum Hersteller: GPSR Kontakt; ProductSafety@springernature.com; ; Slevogtstraße 3-5; Heidelberg; 69126; Deutschland