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Trajectory optimization for redundant robots using genetic algorithms with heuristic operators

dc.contributor.authorPires, E. J. Solteiro
dc.contributor.authorTenreiro Machado, J. A.
dc.date.accessioned2019-04-05T09:34:57Z
dc.date.available2019-04-05T09:34:57Z
dc.date.issued2000-07-08
dc.description.abstractThis paper proposes a genetic algorithm to generate trajectories for robotic manipulators. The objective is to minimize the ripple in the trajectory time evolution and to minimize the actuator energy requirements without colliding with any obstacles in the workspace. The article presents the results for several redundant and hyper-redundant manipulators.pt_PT
dc.description.versionN/Apt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/13413
dc.language.isoengpt_PT
dc.subjectGenetic algorithmspt_PT
dc.subjectRoboticspt_PT
dc.subjectTrajectory planningpt_PT
dc.subjectOptimizationpt_PT
dc.titleTrajectory optimization for redundant robots using genetic algorithms with heuristic operatorspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceLas Vegas, Nevadapt_PT
oaire.citation.endPage9pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleGenetic and evolutionary computation conferencept_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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