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Optimization of a humanoid robot gait: multilocal optimization approach

dc.contributor.authorLima, José
dc.contributor.authorPereira, Ana I.
dc.contributor.authorCosta, Paulo Gomes da
dc.contributor.authorGonçalves, José
dc.date.accessioned2014-07-08T15:19:32Z
dc.date.available2014-07-08T15:19:32Z
dc.date.issued2013
dc.description.abstractThe humanoid robot gait planning presents a large number of unknown parameters that should be found to make the humanoid robot to walk. There are several approaches to achieve the gait but an accurate simulation can be used to compute it. A stable joint model of a humanoid robot is used in simulation to optimize the gait parameters. The optimization is based on the stretched simulated annealing with the multilocal algorithm approach. Final results prove the benefits of the presented optimization algorithm.por
dc.description.sponsorshipThis work is financed by the ERDF - European Regional Development Fund through the COMPETE Programme (operational programme for competitiveness) and by National Funds through the FCT -Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) within projects FCOMP-01-0124-FEDER-022701 and FCOMP-01-0124-FEDER-022674.
dc.identifier.citationLima, José; Pereira, Ana I.; Costa, Paulo; Gonçalves, José (2013). Optimization of a humanoid robot gait: multilocal optimization approach. In IO 2013 | XVI Congresso da Associação Portuguesa de Investigação Operacional. Bragançapor
dc.identifier.urihttp://hdl.handle.net/10198/9870
dc.language.isoengpor
dc.subjectRoboticspor
dc.subjectOptimizationpor
dc.titleOptimization of a humanoid robot gait: multilocal optimization approachpor
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferencePlaceBragançapor
oaire.citation.titleIO 2013 | XVI Congresso da Associação Portuguesa de Investigação Operacionalpor
person.familyNameLima
person.familyNamePereira
person.familyNameGonçalves
person.givenNameJosé
person.givenNameAna I.
person.givenNameJosé
person.identifierR-000-8GD
person.identifierR-000-7ZW
person.identifier.ciencia-id6016-C902-86A9
person.identifier.ciencia-id0716-B7C2-93E4
person.identifier.ciencia-id8112-DCE2-D025
person.identifier.orcid0000-0001-7902-1207
person.identifier.orcid0000-0003-3803-2043
person.identifier.orcid0000-0002-5499-1730
person.identifier.ridL-3370-2014
person.identifier.ridF-3168-2010
person.identifier.ridB-8547-2018
person.identifier.scopus-author-id55851941311
person.identifier.scopus-author-id15071961600
person.identifier.scopus-author-id48361230200
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
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relation.isAuthorOfPublication6a3b0b39-7fe9-4450-94f4-ced3941947da
relation.isAuthorOfPublication.latestForDiscovery6a3b0b39-7fe9-4450-94f4-ced3941947da

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