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Gait Selection for Quadruped Legged Robots

dc.contributor.authorSilva, Manuel F.
dc.contributor.authorMachado, J. A. Tenreiro
dc.contributor.authorLopes, António M.
dc.date.accessioned2015-11-30T15:40:11Z
dc.date.available2015-11-30T15:40:11Z
dc.date.issued2004
dc.description.abstractThis paper studies periodic gaits of quadruped locomotion systems. The purpose is to determine the best set of gait and locomotion variables for different robot velocities based on the system dynamics during walking. In this perspective, several performance measures are formulated and a set of experiments reveals the influence of the gait and locomotion variables upon those proposed indices. The results show that the locomotion parameters (β, LS and HB) should be adapted to the walking velocity in order to optimize the robot performance. Furthermore, for the case of a quadruped robot, we concluded that the gait should be adapted to VF .pt_PT
dc.identifier.isbn978-3866080522
dc.identifier.urihttp://hdl.handle.net/10400.22/7030
dc.language.isoengpt_PT
dc.relation.ispartofseriesIntelligent systems at the Service of Mankind;Vol. 2
dc.titleGait Selection for Quadruped Legged Robotspt_PT
dc.typebook part
dspace.entity.typePublication
oaire.citation.endPage104pt_PT
oaire.citation.startPage93pt_PT
oaire.citation.titleIntelligent systems at the Service of Mankindpt_PT
person.familyNameSilva
person.familyNameTenreiro Machado
person.givenNameManuel
person.givenNameJ. A.
person.identifierR-000-A3Q
person.identifier.ciencia-idAB11-C518-AF50
person.identifier.ciencia-id7A18-4935-5B29
person.identifier.orcid0000-0002-0593-2865
person.identifier.orcid0000-0003-4274-4879
person.identifier.ridM-5767-2013
person.identifier.ridM-2173-2013
person.identifier.scopus-author-id55934287000
person.identifier.scopus-author-id55989030100
rcaap.rightsclosedAccesspt_PT
rcaap.typebookPartpt_PT
relation.isAuthorOfPublication06ad158b-a73e-4c2e-9ea6-5c023ba9b4cc
relation.isAuthorOfPublication82cd5c17-07b6-492b-b3e3-ecebdad1254f
relation.isAuthorOfPublication.latestForDiscovery82cd5c17-07b6-492b-b3e3-ecebdad1254f

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