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Conference Paper: Nonparametric Online Learning for Hyper-Elastic Robotic Control: Efficient training based on Finite Element Analysis

TitleNonparametric Online Learning for Hyper-Elastic Robotic Control: Efficient training based on Finite Element Analysis
Authors
Issue Date2017
Citation
IEEE/RSJ International Conference on Intelligent Robotics and Systems (IROS) Workshop –Soft Morphological Design for Haptic Sensation, Interaction and Display, 2017 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/277290

 

DC FieldValueLanguage
dc.contributor.authorLEE, KH-
dc.contributor.authorFu, KCD-
dc.contributor.authorLEONG, CWM-
dc.contributor.authorHO, JD-L-
dc.contributor.authorFU, HC-
dc.contributor.authorAlthoefer, K-
dc.contributor.authorYeung, CK-
dc.contributor.authorKwok, KW-
dc.date.accessioned2019-09-20T08:48:12Z-
dc.date.available2019-09-20T08:48:12Z-
dc.date.issued2017-
dc.identifier.citationIEEE/RSJ International Conference on Intelligent Robotics and Systems (IROS) Workshop –Soft Morphological Design for Haptic Sensation, Interaction and Display, 2017-
dc.identifier.urihttp://hdl.handle.net/10722/277290-
dc.languageeng-
dc.relation.ispartofIEEE/RSJ International Conference on Intelligent Robotics and Systems (IROS) Workshop –Soft Morphological Design for Haptic Sensation, Interaction and Display, 2017-
dc.titleNonparametric Online Learning for Hyper-Elastic Robotic Control: Efficient training based on Finite Element Analysis-
dc.typeConference_Paper-
dc.identifier.emailKwok, KW: kwokkw@hku.hk-
dc.identifier.authorityKwok, KW=rp01924-
dc.identifier.hkuros305524-

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