• DocumentCode
    2337000
  • Title

    The sense of smell in social robots

  • Author

    Galán, Daniel ; Galán, Ramón ; Martínez, Ángel Luis ; Moreno, Iveth

  • Author_Institution
    Centro de Autom. y Robot., UPM, Madrid, Spain
  • fYear
    2012
  • fDate
    18-20 July 2012
  • Firstpage
    1429
  • Lastpage
    1434
  • Abstract
    This paper presents an approach to the integration of the sense of smell in social robots. The Intelligence Control Group of CAR (CSIC-UPM) has been working on the design of URBANO, a tour guide robot. The URBANO´s software architecture is based in agents using SOAP proposal. Some agents offer cognitive services, such as the automatic generation of presentations, learning of concepts using internet and the emotional behavior. One of them is an ontology that contains the knowledge used by the robot. A new agent that implements the learning of odors and produces new stimuli has been developed. This stimuli generate changes in the emotions, therefore, it also produces changes in the behavior of the robot. The obtained results show how to add odors to the emotional model of the robot help it to increase its performance as a social robot.
  • Keywords
    Internet; chemioception; control engineering computing; human-robot interaction; learning (artificial intelligence); software architecture; CAR; CSIC-UPM; Internet; SOAP proposal; URBANO; automatic presentation generation; cognitive services; concepts learning; emotional behavior; intelligence control group; odors; smell sense; social robots; software architecture; tour guide robot; Chemical sensors; Chemicals; Electronic noses; Humans; Robot sensing systems; Affective Computing; Cognitive systems; Electronic Nose; Odors Classification; Social robotics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications (ICIEA), 2012 7th IEEE Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4577-2118-2
  • Type

    conf

  • DOI
    10.1109/ICIEA.2012.6360948
  • Filename
    6360948