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dc.creatorBie, Dongyanges
dc.creatorGutiérrez Naranjo, Miguel Ángeles
dc.creatorZhao, Jiees
dc.creatorZhu, Yanhees
dc.date.accessioned2021-04-07T07:36:27Z
dc.date.available2021-04-07T07:36:27Z
dc.date.issued2017
dc.identifier.citationBie, D., Gutiérrez Naranjo, M.Á., Zhao, J. y Zhu, Y. (2017). An Approach to the Bio-Inspired Control of Self-reconfigurable Robots. En BIC-TAC 2017: 12th International Conference on Bio-Inspired Computing: Theories and Applications (24-38), Harbin, China: Springer.
dc.identifier.isbn978-981-10-7178-2es
dc.identifier.urihttps://hdl.handle.net/11441/106776
dc.description.abstractSelf-reconfigurable robots are robots built by modules which can move in relationship to each other. This ability of changing its physical form provides the robots a high level of adaptability and robustness. Given an initial configuration and a goal configuration of the robot, the problem of self-regulation consists on finding a sequence of module moves that will reconfigure the robot from the initial configuration to the goal configuration. In this paper, we use a bio-inspired method for studying this problem which combines a cluster-flow locomotion based on cellular automata together with a decentralized local representation of the spatial geometry based on membrane computing ideas. A promising 3D software simulation and a 2D hardware experiment are also presented.es
dc.description.sponsorshipNational Natural Science Foundation of China No. 61673137es
dc.formatapplication/pdfes
dc.format.extent15es
dc.language.isoenges
dc.publisherSpringeres
dc.relation.ispartofBIC-TAC 2017: 12th International Conference on Bio-Inspired Computing: Theories and Applications (2017), pp. 24-38.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleAn Approach to the Bio-Inspired Control of Self-reconfigurable Robotses
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/submittedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificiales
dc.relation.projectIDNo. 61673137es
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-981-10-7179-9_3es
dc.identifier.doi10.1007/978-981-10-7179-9_3es
dc.publication.initialPage24es
dc.publication.endPage38es
dc.eventtitleBIC-TAC 2017: 12th International Conference on Bio-Inspired Computing: Theories and Applicationses
dc.eventinstitutionHarbin, Chinaes
dc.relation.publicationplaceSingaporees
dc.identifier.sisius21457570es
dc.contributor.funderNational Natural Science Foundation of Chinaes

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Except where otherwise noted, this item's license is described as: Attribution-NonCommercial-NoDerivatives 4.0 Internacional