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Total Size:
16.9 MB
Info Hash:
B2F0441153ADC3A5DAABBF8C6C2D9299F10A25F8
Added By:
Added:
April 20, 2026, 12:05 p.m.
Stats:
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(Last updated: April 20, 2026, 12:10 p.m.)
| File | Size |
|---|---|
| Yang C. Advanced Teleoperation and Robot Learning...Dexterous Manipulation 2025.pdf | 16.9 MB |
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| Uploaded by worldmkv | Size 297.7 MB | Health [ 26 /17 ] | Added 2023-06-01 |
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| Uploaded by indexFroggy | Size 13.7 MB | Health [ 21 /16 ] | Added 2023-07-01 |
NOTE
SOURCE: Yang C. Advanced Teleoperation and Robot Learning...Dexterous Manipulation 2025
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COVER
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MEDIAINFO
Textbook in PDF format 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
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