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dc.contributorEscuela de Ingenierias Industrial, Informática y Aeroespaciales_ES
dc.contributor.authorGonzález Santamarta, Miguel Ángel 
dc.contributor.authorRodríguez Lera, Francisco Javier 
dc.contributor.authorFernández Llamas, Camino 
dc.contributor.authorMatellán Olivera, Vicente 
dc.contributor.otherArquitectura y Tecnologia de Computadoreses_ES
dc.date2023-03
dc.date.accessioned2024-05-07T08:26:10Z
dc.date.available2024-05-07T08:26:10Z
dc.identifier.citationGonzález-Santmarta, M. Á., Rodríguez-Lera, F. J., Fernández-Llamas, C., & Matellán-Olivera, V. (2023). MERLIN2: MachinEd Ros 2 pLanINg[Formula presented]. Software Impacts, 15. https://doi.org/10.1016/J.SIMPA.2023.100477es_ES
dc.identifier.issn2665-9638
dc.identifier.urihttps://hdl.handle.net/10612/20484
dc.descriptionPermanent link to code/repository used for this code version: https://github.com/SoftwareImpacts/SIMPAC-2023-26es_ES
dc.description.abstract[EN] Any service robot should be able to make decisions and schedule tasks to reach predefined goals such as opening a door or assisting users at home. However, these processes are not single short-term tasks anymore and it is required to set long-term skills for establishing a control architecture that allows robots to perform daily tasks. This paper presents MERLIN2, a hybrid cognitive architecture based on symbolic planning and state machine decision-making systems that allows performing robot behaviors. The architecture can run in any robot running ROS 2, the latest version of the Robot Operative System. MERLIN2 is available at https://github.com/MERLIN2-ARCH/merlin2.es_ES
dc.languageenges_ES
dc.publisherElsevieres_ES
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectCibernéticaes_ES
dc.subject.otherCognitive roboticses_ES
dc.subject.otherHybrid architecturees_ES
dc.subject.otherSymbolic planninges_ES
dc.subject.otherFinite state-machineses_ES
dc.subject.otherReactivityes_ES
dc.subject.otherKnowledge managinges_ES
dc.titleMERLIN2: MachinEd Ros 2 pLanINges_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.identifier.doi10.1016/J.SIMPA.2023.100477
dc.description.peerreviewedSIes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Programa Estatal para Impulsar la Investigación Científico-Técnica y su Transferencia/PID2021-126592OB-C21/ES/EXPLICABILIDAD EN LA TOMA DE DECISIONES DE ROBOTS AUTONOMOS (EDMAR)es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.journal.titleSoftware Impactses_ES
dc.volume.number15es_ES
dc.page.initial100477es_ES
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES
dc.subject.unesco1207.03 Cibernéticaes_ES
dc.subject.unesco1203.04 Inteligencia Artificiales_ES
dc.description.projectMinisterio de Universidades (FPU21/01438)es_ES
dc.description.projectEUROPEAN REGIONAL DEVELOPMENT FUND (ERDF) "Una manera de hacer Europa"es_ES


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