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Article: Soft Robot-Assisted Minimally Invasive Surgery and Interventions: Advances and Outlook

TitleSoft Robot-Assisted Minimally Invasive Surgery and Interventions: Advances and Outlook
Authors
KeywordsEndoscopy
flexible tools
machine learning
modelling
robot-assisted minimally invasive surgery (RAMIS)
Issue Date2022
PublisherIEEE. 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?
AbstractSince 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 Identifierhttp://hdl.handle.net/10722/312183
ISSN
2023 Impact Factor: 23.2
2023 SCImago Journal Rankings: 6.085
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorKwok, KW-
dc.contributor.authorWurdemann, A-
dc.contributor.authorArezzo, A-
dc.contributor.authorMenciassi, A-
dc.contributor.authorAlthofer, K-
dc.date.accessioned2022-04-25T01:36:18Z-
dc.date.available2022-04-25T01:36:18Z-
dc.date.issued2022-
dc.identifier.citationProceedings of the IEEE, 2022-
dc.identifier.issn0018-9219-
dc.identifier.urihttp://hdl.handle.net/10722/312183-
dc.description.abstractSince 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.languageeng-
dc.publisherIEEE. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5-
dc.relation.ispartofProceedings of the IEEE-
dc.rightsProceedings 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.subjectEndoscopy-
dc.subjectflexible tools-
dc.subjectmachine learning-
dc.subjectmodelling-
dc.subjectrobot-assisted minimally invasive surgery (RAMIS)-
dc.titleSoft Robot-Assisted Minimally Invasive Surgery and Interventions: Advances and Outlook-
dc.typeArticle-
dc.identifier.emailKwok, KW: kwokkw@hku.hk-
dc.identifier.authorityKwok, KW=rp01924-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/JPROC.2022.3167931-
dc.identifier.hkuros332606-
dc.identifier.isiWOS:000791746100001-
dc.publisher.placeUnited States-

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