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oai:recercat.cat:10230/357652025-12-19T22:58:47Zcom_2072_6col_2072_452952

urn:hdl:10230/35765 EFAA: a companion emerges from integrating a layered cognitive architecture Lallée, Stéphane Vouloutsi, Vasiliki Wierenga, Sytse Pattacini, Ugo Verschure, Paul F. M. J. Robot companion Social interaction Synthetic emotions Allostatic control Presentat a: the 2014 ACM/IEEE International Conference on Human-Robot Interaction (HRI 2014), celebrat del 3 al 6 de març de 2014 a Bielefeld, Alemanya. In this video, we present the human robot interaction generated by applying the DAC cognitive architecture [1] on the iCub robot. We demonstrate how the robot reacts and adapts to its environment within the context a continuous interactive scenario including different games. We emphasize as well that the artificial agent is maintaining a self-model in terms of emotions and drives and how those are expressed in order affect the social interaction. This work is supported by the EU FP7 project EFAA (FP7-ICT- 270490) and by the Spanish Plan Nacional TIN2010-16745 (FAA-Arquitectura Cognitiva Biomimetica para un Funcional Ayudante de Androide Socialmente en Activo). 2018-11-15T14:20:08Z 2018-11-15T14:20:08Z 2014 info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion Proceedings of the 2014 ACM/IEEE International Conference on Human-Robot Interaction (HRI 2014); 2014 March 3-6; Bielefeld, Germany. New York: ACM; 2014. p.105. info:eu-repo/grantAgreement/EC/FP7/270490 © ACM, 2014. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published inProceedings of the 2014 ACM/IEEE International Conference on Human-Robot Interaction (HRI 2014); 2014 March 3-6; Bielefeld, Germany. New York: ACM; 2014. p.105. http://doi.acm.org/10.1145/2559636.2559643 info:eu-repo/semantics/openAccess ACM Association for Computer Machinery