Suhas Kadalagere Sampath
Review on human-like robot manipulation using dexterous hands
Kadalagere Sampath, Suhas; Wang, Ning; Wu, Hao; Yang, Chenguang
Authors
Dr. Ning Wang Ning2.Wang@uwe.ac.uk
Senior Lecturer in Robotics
Hao Wu
Charlie Yang Charlie.Yang@uwe.ac.uk
Professor in Robotics
Abstract
In recent years, human hand-based robotic hands or dexterous hands have gained attention due to their enormous capabilities of handling soft materials compared to traditional grippers. Back in the earlier days, the development of a hand model close to that of a human was an impossible task but with the advancements made in technology, dexterous hands with three, four or five-fingered robotic hands have been developed to mimic human hand nature. However, human-like manipulation of dexterous hands to this date remains a challenge. Thus, this review focuses on (a) the history and motivation behind the development of dexterous hands, (b) a brief overview of the available multi-fingered hands, and (c) learning-based methods such as traditional and data-driven learning methods for manipulating dexterous hands. Additionally, it discusses the challenges faced in terms of the manipulation of multi-fingered or dexterous hands.
Citation
Kadalagere Sampath, S., Wang, N., Wu, H., & Yang, C. (2023). Review on human-like robot manipulation using dexterous hands. Cognitive Computation and Systems, 5(1), 14-29. https://doi.org/10.1049/ccs2.12073
Journal Article Type | Review |
---|---|
Acceptance Date | Oct 21, 2022 |
Online Publication Date | Feb 18, 2023 |
Publication Date | Mar 1, 2023 |
Deposit Date | Mar 2, 2023 |
Publicly Available Date | Mar 2, 2023 |
Journal | Cognitive Computation and Systems |
Electronic ISSN | 2517-7567 |
Publisher | Institution of Engineering and Technology (IET) |
Peer Reviewed | Peer Reviewed |
Volume | 5 |
Issue | 1 |
Pages | 14-29 |
DOI | https://doi.org/10.1049/ccs2.12073 |
Keywords | Dexterous hand, learning‐based manipulation, robot manipulation |
Public URL | https://uwe-repository.worktribe.com/output/10483377 |
Publisher URL | https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/ccs2.12073 |
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Licence
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Publisher Licence URL
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