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Robotic dexterous manipulation: From tele-operation to autonomous learning and adaptive control

Li, Qiang; Liu, Chao; Yang, Chenguang; Chen, Fei; Ritter, Helge

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Authors

Qiang Li

Chao Liu

Fei Chen

Helge Ritter



Abstract

Manipulation is one essential capability that enables robots to interact with and change the world. It is very important to understand the principles on how dexterous manipulation can be achieved from theoretical and technical aspects. From this special issue, we hope that it can bring to readers the latest progresses (or studies) on.

How the complex robotic systems have been developed for solving complex manipulation tasks

How the manipulation complexity/intelligence is solved by model-based, data-driven or resorted to human intelligence approaches

How dexterous manipulation is deployed in the real-world applications, e.g. in industry, medical, service and agriculture etc. domains

Journal Article Type Editorial
Acceptance Date May 4, 2022
Online Publication Date May 30, 2022
Publication Date Aug 1, 2022
Deposit Date Aug 15, 2022
Publicly Available Date Aug 16, 2022
Journal Complex and Intelligent Systems
Print ISSN 2199-4536
Electronic ISSN 2198-6053
Publisher Springer (part of Springer Nature)
Peer Reviewed Peer Reviewed
Volume 8
Issue 4
Pages 2809-2811
DOI https://doi.org/10.1007/s40747-022-00773-y
Keywords Robotic dexterous manipulation, tele-operation, autonomous learning, adaptive control
Public URL https://uwe-repository.worktribe.com/output/9840587
Publisher URL https://link.springer.com/article/10.1007/s40747-022-00773-y#additional-information

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