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dc.contributor.authorCobos-Guzmán, Salvador
dc.contributor.authorVerdú, Elena
dc.contributor.authorHerrera-Viedma, Enrique
dc.contributor.authorGonzález-Crespo, Rubén
dc.date2020-04-01
dc.date.accessioned2020-10-26T07:39:29Z
dc.date.available2020-10-26T07:39:29Z
dc.identifier.issn18685137
dc.identifier.urihttps://reunir.unir.net/handle/123456789/10683
dc.description.abstractIndustry 4.0 is the current industrial revolution and robotics is an important factor for carrying out high dexterity manipulations. However, mechatronic systems are far from human capabilities and sophisticated robotic hands are highly priced. This paper describes a Fuzzy Logic Expert System (FLES) to map kinematic parameters from robotic hand features to the level of dexterity. The final goal is to obtain the adequate robotic hand that can do ranges of specific tasks according to the level of dexterity required. The FLES uses important kinematic parameters of the human hand/robotic hand: number of fingers, number of Degrees of Freedom (DoF), and number of contacts that grasping involves. As a result, several robotic hands are evaluated using the FLES to determine the type of dexterity task that corresponds to each robotic hand.es_ES
dc.language.isoenges_ES
dc.publisherJournal of Ambient Intelligence and Humanized Computinges_ES
dc.relation.ispartofseries;vol. 11, nº 4
dc.relation.urihttps://link.springer.com/article/10.1007/s12652-019-01229-x#citeases_ES
dc.rightsrestrictedAccesses_ES
dc.subjectexpert systemes_ES
dc.subjectfuzzy logices_ES
dc.subjectrobotic handes_ES
dc.subjectrobotic hands selectiones_ES
dc.subjectScopuses_ES
dc.subject.otherJCRes_ES
dc.titleFuzzy logic expert system for selecting robotic hands using kinematic parameterses_ES
dc.typeArticulo Revista Indexadaes_ES
reunir.tag~ARIes_ES
dc.identifier.doihttps://doi.org/10.1007/s12652-019-01229-x


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