Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-34103-8_25
DC FieldValue
dc.titleMotion synchronization for human-robot collaboration
dc.contributor.authorGe, S.S.
dc.contributor.authorLi, Y.
dc.date.accessioned2014-06-19T03:18:57Z
dc.date.available2014-06-19T03:18:57Z
dc.date.issued2012
dc.identifier.citationGe, S.S.,Li, Y. (2012). Motion synchronization for human-robot collaboration. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7621 LNAI : 248-257. ScholarBank@NUS Repository. <a href="https://doi.org/10.1007/978-3-642-34103-8_25" target="_blank">https://doi.org/10.1007/978-3-642-34103-8_25</a>
dc.identifier.isbn9783642341021
dc.identifier.issn03029743
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/71021
dc.description.abstractIn this paper, motion synchronization is investigated for human-robot collaboration, such that the motions of the robot and its human partner are synchronized and the robot is able to "actively" follow its human partner. Force tracking is achieved with the proposed method under the impedance control framework, subject to uncertain human limb dynamics. Adaptive control is developed to deal with point-to-point movement, and learning control is developed to generate a periodic trajectory. The proposed method is verified through simulation studies. © 2012 Springer-Verlag.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/978-3-642-34103-8_25
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1007/978-3-642-34103-8_25
dc.description.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.description.volume7621 LNAI
dc.description.page248-257
dc.identifier.isiutNOT_IN_WOS
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