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Article: Data-driven methods towards learning the highly nonlinear inverse kinematics of tendon-driven surgical manipulators

TitleData-driven methods towards learning the highly nonlinear inverse kinematics of tendon-driven surgical manipulators
Authors
Keywordsdata-driven methods
inverse kinematics
surgical robotics
tendon-driven serpentine manipulator
Issue Date2017
PublisherJohn Wiley & Sons Ltd.
Citation
International Journal of Medical Robotics and Computer Assisted Surgery, 2017, v. 13 n. 3, article no. e1774 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/234612
ISSN
2021 Impact Factor: 2.483
2020 SCImago Journal Rankings: 0.556
ISI Accession Number ID
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DC FieldValueLanguage
dc.contributor.authorCHEN, J-
dc.contributor.authorWu, W-
dc.contributor.authorRen, HL-
dc.contributor.authorLau, HYK-
dc.date.accessioned2016-10-14T13:48:02Z-
dc.date.available2016-10-14T13:48:02Z-
dc.date.issued2017-
dc.identifier.citationInternational Journal of Medical Robotics and Computer Assisted Surgery, 2017, v. 13 n. 3, article no. e1774-
dc.identifier.issn1478-5951-
dc.identifier.urihttp://hdl.handle.net/10722/234612-
dc.languageeng-
dc.publisherJohn Wiley & Sons Ltd.-
dc.relation.ispartofInternational Journal of Medical Robotics and Computer Assisted Surgery-
dc.rightsInternational Journal of Medical Robotics and Computer Assisted Surgery. Copyright © John Wiley & Sons Ltd.-
dc.rightsPreprint: This is the pre-peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving. Postprint: This is the peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving. Special Statement for Preprint only Before publication: 'This is a preprint of an article accepted for publication in [The Journal of Pathology] Copyright © ([year]) ([Pathological Society of Great Britain and Ireland])'. After publication: the preprint notice should be amended to follows: 'This is a preprint of an article published in [include the complete citation information for the final version of the Contribution as published in the print edition of the Journal]' For Cochrane Library/ Cochrane Database of Systematic Reviews, add statement & acknowledgement : ‘This review is published as a Cochrane Review in the Cochrane Database of Systematic Reviews 20XX, Issue X. Cochrane Reviews are regularly updated as new evidence emerges and in response to comments and criticisms, and the Cochrane Database of Systematic Reviews should be consulted for the most recent version of the Review.’ Please include reference to the Review and hyperlink to the original version using the following format e.g. Authors. Title of Review. Cochrane Database of Systematic Reviews 20XX, Issue #. Art. No.: CD00XXXX. DOI: 10.1002/14651858.CD00XXXX (insert persistent link to the article by using the URL: http://dx.doi.org/10.1002/14651858.CD00XXXX) (This statement should refer to the most recent issue of the Cochrane Database of Systematic Reviews in which the Review published.)-
dc.subjectdata-driven methods-
dc.subjectinverse kinematics-
dc.subjectsurgical robotics-
dc.subjecttendon-driven serpentine manipulator-
dc.titleData-driven methods towards learning the highly nonlinear inverse kinematics of tendon-driven surgical manipulators-
dc.typeArticle-
dc.identifier.emailLau, HYK: hyklau@hkucc.hku.hk-
dc.identifier.authorityLau, HYK=rp00137-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1002/rcs.1774-
dc.identifier.pmid27647806-
dc.identifier.scopuseid_2-s2.0-84988402593-
dc.identifier.hkuros269349-
dc.identifier.volume13-
dc.identifier.issue3-
dc.identifier.spagearticle no. e1774-
dc.identifier.epagearticle no. e1774-
dc.identifier.isiWOS:000411294000012-
dc.publisher.placeUnited Kingdom-
dc.relation.projectTask characterization for intelligent control of tendon-driven serpentine surgical manipulators with learning from demonstration-
dc.identifier.issnl1478-5951-

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