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Trajectory control of redundant manipulators

dc.contributor.authorTenreiro Machado, J. A.
dc.contributor.authorDuarte, Fernando B. M.
dc.date.accessioned2019-04-12T14:06:58Z
dc.date.available2019-04-12T14:06:58Z
dc.date.issued1997-12-08
dc.description.abstractThis paper presents the fundamental aspects of the theory of the generalized matrices and explore their application on the control of redundant manipulators. Redundant manipulators have some advantages when compared to classical arms because they allow a trajectory optimization, both on the free space and on the presence of obstacles, and the resolution of singularities. Nevertheless, for this type of manipulators the kinematic control adopts algorithms that use generalized inverses matrices. Consequently, the concepts associated with the control by generalized inverses are tested through several experiments that reveal the difficulties that often arise. In this perspective, it is studied the control of redundant and hybrid-redundant manipulators namely through the analysis in points of singularity, showing that we may get non-optimal arm configurations.pt_PT
dc.description.versionN/Apt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/13552
dc.language.isoengpt_PT
dc.subjectRedundant manipulatorspt_PT
dc.subjectPseudoinversept_PT
dc.subjectRobotspt_PT
dc.subjectSingularitiespt_PT
dc.titleTrajectory control of redundant manipulatorspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceBauru, São Paulopt_PT
oaire.citation.endPage10pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.title14th Brazilian Congress of Mechanical Engineeringpt_PT
person.familyNameTenreiro Machado
person.givenNameJ. A.
person.identifier.ciencia-id7A18-4935-5B29
person.identifier.orcid0000-0003-4274-4879
person.identifier.ridM-2173-2013
person.identifier.scopus-author-id55989030100
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication82cd5c17-07b6-492b-b3e3-ecebdad1254f
relation.isAuthorOfPublication.latestForDiscovery82cd5c17-07b6-492b-b3e3-ecebdad1254f

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