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- Publisher Website: 10.1109/JPROC.2022.3167931
- WOS: WOS:000791746100001
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Article: Soft Robot-Assisted Minimally Invasive Surgery and Interventions: Advances and Outlook
Title | Soft Robot-Assisted Minimally Invasive Surgery and Interventions: Advances and Outlook |
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Authors | |
Keywords | Endoscopy flexible tools machine learning modelling robot-assisted minimally invasive surgery (RAMIS) |
Issue Date | 2022 |
Publisher | IEEE. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5 |
Citation | Proceedings of the IEEE, 2022 How to Cite? |
Abstract | Since the emergence of soft robotics around two decades ago, research interest in the field has escalated at a pace. It is fuelled by the industry’s appreciation of the wide range of soft materials available that can be used to create highly dexterous robots with adaptability characteristics far beyond that which can be achieved with rigid component devices. The ability, inherent in soft robots, to compliantly adapt to the environment, has significantly sparked interest from the surgical robotics
community. This paper provides an in-depth overview of recent progress and outlines remaining challenges in the development of soft robotics for minimally invasive surgery. |
Persistent Identifier | http://hdl.handle.net/10722/312183 |
ISSN | 2023 Impact Factor: 23.2 2023 SCImago Journal Rankings: 6.085 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Kwok, KW | - |
dc.contributor.author | Wurdemann, A | - |
dc.contributor.author | Arezzo, A | - |
dc.contributor.author | Menciassi, A | - |
dc.contributor.author | Althofer, K | - |
dc.date.accessioned | 2022-04-25T01:36:18Z | - |
dc.date.available | 2022-04-25T01:36:18Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | Proceedings of the IEEE, 2022 | - |
dc.identifier.issn | 0018-9219 | - |
dc.identifier.uri | http://hdl.handle.net/10722/312183 | - |
dc.description.abstract | Since the emergence of soft robotics around two decades ago, research interest in the field has escalated at a pace. It is fuelled by the industry’s appreciation of the wide range of soft materials available that can be used to create highly dexterous robots with adaptability characteristics far beyond that which can be achieved with rigid component devices. The ability, inherent in soft robots, to compliantly adapt to the environment, has significantly sparked interest from the surgical robotics community. This paper provides an in-depth overview of recent progress and outlines remaining challenges in the development of soft robotics for minimally invasive surgery. | - |
dc.language | eng | - |
dc.publisher | IEEE. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5 | - |
dc.relation.ispartof | Proceedings of the IEEE | - |
dc.rights | Proceedings of the IEEE. Copyright © IEEE. | - |
dc.rights | ©2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | - |
dc.subject | Endoscopy | - |
dc.subject | flexible tools | - |
dc.subject | machine learning | - |
dc.subject | modelling | - |
dc.subject | robot-assisted minimally invasive surgery (RAMIS) | - |
dc.title | Soft Robot-Assisted Minimally Invasive Surgery and Interventions: Advances and Outlook | - |
dc.type | Article | - |
dc.identifier.email | Kwok, KW: kwokkw@hku.hk | - |
dc.identifier.authority | Kwok, KW=rp01924 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/JPROC.2022.3167931 | - |
dc.identifier.hkuros | 332606 | - |
dc.identifier.isi | WOS:000791746100001 | - |
dc.publisher.place | United States | - |