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dc.contributor.authorPérez Vidal, Carlos
dc.contributor.authorGracia Marco, Luis
dc.contributor.authorGarcía, Nicolás
dc.contributor.authorCervera, Enric
dc.date.accessioned2013-01-10T12:32:36Z
dc.date.available2013-01-10T12:32:36Z
dc.date.issued2009
dc.identifier.citationAdvanced Robotics (2009), 23, 6, p. 725-745ca_CA
dc.identifier.issn0169-1864
dc.identifier.urihttp://hdl.handle.net/10234/54742
dc.description.abstractThis research develops a control scheme for visual servoing that explicitly takes into account the delay in- troduced by image acquisition and processing. For this purpose, a predictor block, i.e., an estimator that predicts several samples ahead of time, is properly included in the scheme. The proposed approach is an- alytically analyzed in terms of dynamics and steady-state errors, and compared to previous approaches. Furthermore, several simulations are comparatively shown in order to illustrate the benefits and limitations of the proposed control scheme. Finally, some experimental results using a turntable and a 3-d.o.f. Cartesian robot are provided in order to validate the analytical and simulation results.ca_CA
dc.format.extent20 p.ca_CA
dc.language.isoengca_CA
dc.publisherBrillca_CA
dc.rights© Koninklijke Brill NV, Leiden and The Robotics Society of Japan, 2009ca_CA
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/*
dc.subjectControl schemeca_CA
dc.subjectKalman filterca_CA
dc.subjectprediction filtersca_CA
dc.subjectvisual servoingca_CA
dc.titleVisual control of robots with delayed imagesca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttp://dx.doi.org/10.1163/156855309X431695
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccessca_CA
dc.relation.publisherVersionhttp://www.swetswise.com/FullTextProxy/swproxy?url=http%3A%2F%2Fwww.tandfonline.com%2Fdoi%2Fpdf%2F10.1163%2F156855309X431695&ts=1357820104649&cs=1100199117&userName=1087460.ipdirect&emCondId=1087460&articleID=167800993&yevoID=2489809&titleID=3648&referer=1&remoteAddr=150.128.148.11&hostType=PRO&swsSessionId=aqJnfAf6eZBE-8hpymv9fQ__.pasc2ca_CA


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