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

TitleData-driven methods towards learning the highly non-linear inverse kinematics of tendon-driven surgical manipulators
Authors
Issue Date2016
Citation
International Journal of Medical Robotics and Computer Assisted Surgery,  How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/234612

 

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.issued2016-
dc.identifier.citationInternational Journal of Medical Robotics and Computer Assisted Surgery, -
dc.identifier.urihttp://hdl.handle.net/10722/234612-
dc.languageeng-
dc.relation.ispartofInternational Journal of Medical Robotics and Computer Assisted Surgery-
dc.titleData-driven methods towards learning the highly non-linear inverse kinematics of tendon-driven surgical manipulators-
dc.typeArticle-
dc.identifier.emailLau, HYK: hyklau@hkucc.hku.hk-
dc.identifier.authorityLau, HYK=rp00137-
dc.identifier.hkuros269349-

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