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A Bio-inspired Motivational Decision Making System for Social Robots Based on the Perception of the User

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dc.affiliation.dptoUC3M. Departamento de Ingeniería de Sistemas y Automáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Laboratorio de Robótica (Robotics Lab)es
dc.contributor.authorMaroto Gómez, Marcos
dc.contributor.authorCastro González, Álvaro
dc.contributor.authorCastillo Montoya, José Carlos
dc.contributor.authorMalfaz Vázquez, María Ángeles
dc.contributor.authorSalichs Sánchez-Caballero, Miguel
dc.contributor.funderMinisterio de Economía y Competitividad (España)es
dc.contributor.funderComunidad de Madrides
dc.date.accessioned2019-02-08T09:26:21Z
dc.date.available2019-02-08T09:26:21Z
dc.date.issued2018-08-16
dc.description.abstractNowadays, many robotic applications require robots making their own decisions and adapting to different conditions and users. This work presents a biologically inspired decision making system, based on drives, motivations, wellbeing, and self-learning, that governs the behavior of the robot considering both internal and external circumstances. In this paper we state the biological foundations that drove the design of the system, as well as how it has been implemented in a real robot. Following a homeostatic approach, the ultimate goal of the robot is to keep its wellbeing as high as possible. In order to achieve this goal, our decision making system uses learning mechanisms to assess the best action to execute at any moment. Considering that the proposed system has been implemented in a real social robot, human-robot interaction is of paramount importance and the learned behaviors of the robot are oriented to foster the interactions with the user. The operation of the system is shown in a scenario where the robot Mini plays games with a user. In this context, we have included a robust user detection mechanism tailored for short distance interactions. After the learning phase, the robot has learned how to lead the user to interact with it in a natural way.en
dc.description.sponsorshipThe research leading to these results has received funding from the projects: Development of social robots to help seniors with cognitive impairment (ROBSEN), funded by the Ministerio de Economia y Competitividad; and RoboCity2030-III-CM, funded by Comunidad de Madrid and cofunded by Structural Funds of the EU.en
dc.format.extent21
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationMaroto-Gómez, M., Castro-González, Á., Castillo, J.C., Malfaz, M., Salichs, M.A. (2018). A Bioinspired Motivational Decision Making System for Social Robots Based on the Perception of the User. Sensors, 18 (8), 2691.en
dc.identifier.doihttps://doi.org/10.3390/s18082691
dc.identifier.issn1424-8220
dc.identifier.publicationissue8
dc.identifier.publicationtitleSensorsen
dc.identifier.publicationvolume18
dc.identifier.urihttps://hdl.handle.net/10016/28021
dc.identifier.uxxiAR/0000022451
dc.language.isoengen
dc.publisherMDPIen
dc.relation.projectIDComunidad de Madrid. S2013/MIT-2748/RoboCity2030-III-CMprojectes
dc.rights© 2018 by the authors. Licensee MDPI, Basel, Switzerland.en
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.ecienciaRobótica e Informática Industriales
dc.subject.otherDecision makingen
dc.subject.otherSocial robotsen
dc.subject.otherHRIen
dc.subject.otherMachine learningen
dc.subject.otherMotivationen
dc.subject.otherDrivesen
dc.subject.otherHomeostasisen
dc.subject.otherRGB-Den
dc.subject.otherUser detectionen
dc.titleA Bio-inspired Motivational Decision Making System for Social Robots Based on the Perception of the Useren
dc.typeresearch article*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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