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dc.contributor.authorKolyubin, Sergey
dc.contributor.authorShiriaev, Anton
dc.contributor.authorJubien, Anthony
dc.date.accessioned2018-10-17T11:47:01Z
dc.date.available2018-10-17T11:47:01Z
dc.date.created2018-10-01T15:16:27Z
dc.date.issued2017
dc.identifier.citationIFAC-PapersOnLine. 2017, 14626-14623.nb_NO
dc.identifier.issn2405-8963
dc.identifier.urihttp://hdl.handle.net/11250/2568471
dc.description.abstractThis paper presents an attempt to improve dynamic identification procedure for robotic manipulators, such that obtained models are appropriate for trajectory planning and motion control. In addition to algorithms development, authors bring new insights and arguments for the experiments organisation and analysis of the collected data. Significant part of the work is devoted to a case study in calibrating of a collaborative robot (co-bot) KUKA LWR4+, which represents a powerful tool for modern manufacturing systems. Therefore, refined models compared to the ones relied on CAD data provided by the manufacturer can be beneficial for various applications.nb_NO
dc.language.isoengnb_NO
dc.publisherInternational Federation of Automatic Control (IFAC):nb_NO
dc.titleRefining Dynamics Identification for Co-Bots: Case Study on KUKA LWR4+nb_NO
dc.title.alternativeRefining Dynamics Identification for Co-Bots: Case Study on KUKA LWR4+nb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber14626-14623nb_NO
dc.source.volume50nb_NO
dc.source.journalIFAC-PapersOnLinenb_NO
dc.source.issue1nb_NO
dc.identifier.doi10.1016/j.ifacol.2017.08.1741
dc.identifier.cristin1616860
dc.relation.projectNorges forskningsråd: 262363nb_NO
dc.description.localcode© 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd.nb_NO
cristin.unitcode194,63,25,0
cristin.unitnameInstitutt for teknisk kybernetikk
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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