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dc.contributor.authorGarrell Zulueta, Anais
dc.contributor.authorSandoval Torres, Óscar
dc.contributor.authorSanfeliu Cortés, Alberto
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2012-03-12T18:53:09Z
dc.date.available2012-03-12T18:53:09Z
dc.date.created2011
dc.date.issued2011
dc.identifier.citationGarrell, A.; Sandoval, O.; Sanfeliu, A. Adaptive multi agent system for guiding groups of people in urban areas. A: International Conference on Practical Applications of Agents and Multiagent Systems. "Highlights in Practical Applications of Agents and Multiagent Systems, Vol 88 of Advances in Intelligent and Soft Computing". Salamanca: Springer, 2011, p. 175-184.
dc.identifier.isbn978-3-642-19874-8
dc.identifier.urihttp://hdl.handle.net/2117/15548
dc.description.abstractThis article presents a new approach for guiding a group of people using an adaptive multi agent system. For the simulations of the group of people we use social forces, with theses forces human motion is controlled depending on the dynamic environment. To get the group of people being guide we use a set of agents that work cooperatively and they adapt their behavior according to the situation where they are working and how people react. For that reason, we present a model that overcomes the limitations of existing approaches, which are either tailored to tightly bounded environments, or based on unrealistic human behaviors. In particular we define a Discrete-Time- Motion model, which from one side represents the environment by means of a potential field, and on the other hand the motion models for people and robots respond to realistic situations, and for instance human behaviors such as leaving the group are considered. Furthermore, we present an analysis of forces actuating among agents and humans throughout simulations of different situations of robot and human configurations and behaviors. Finally, a new model of multi-robot task allocation applied to people guidance in urban settings is presented. The developed architecture overcomes some of the limitations of existing approaches, such as emergent cooperation or resource sharing.
dc.format.extent10 p.
dc.language.isoeng
dc.publisherSpringer
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Robòtica
dc.subject.lcshNeural networks (Computer science)
dc.titleAdaptive multi agent system for guiding groups of people in urban areas
dc.typeConference report
dc.subject.lemacXarxes neuronals (Informàtica)
dc.contributor.groupUniversitat Politècnica de Catalunya. VIS - Visió Artificial i Sistemes Intel.ligents
dc.identifier.doi10.1007/978-3-642-19917-2_22
dc.subject.inspecClassificació INSPEC::Automation::Robots::Mobile robots
dc.relation.publisherversionhttp://dx.doi.org/10.1007/978-3-642-19917-2_22
dc.rights.accessOpen Access
drac.iddocument9848867
dc.description.versionPostprint (author’s final draft)
upcommons.citation.authorGarrell, A.; Sandoval, O.; Sanfeliu, A.
upcommons.citation.contributorInternational Conference on Practical Applications of Agents and Multiagent Systems
upcommons.citation.pubplaceSalamanca
upcommons.citation.publishedtrue
upcommons.citation.publicationNameHighlights in Practical Applications of Agents and Multiagent Systems, Vol 88 of Advances in Intelligent and Soft Computing
upcommons.citation.startingPage175
upcommons.citation.endingPage184


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