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  • Learning interpersonal human - robot interaction

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  • Learning interpersonal human-robot interaction

     

    Organisé par le LIASD.

    One of the most significant challenges in robotics is to achieve closer interactions between humans and robots. Mutual behaviors occurring during interpersonal interaction provide unique insights into the complexities of the processes underlying human-robot coordination. In particular, interpersonal interaction, the process by which two or more people exchange information through verbal (what is said) and non-verbal (how it is said) messages could be exploited to both establish interaction and inform about the quality of interaction.

    In this talk, we will report our recent works on social learning for (i) detecting individual traits such as pathology and identity during human-robot interaction, (ii) task learning from unlabeled teaching signals. We will also describe how these frameworks could be employed to investigate coordination mechanisms and in particular when it comes to pathologies such as autism spectrum disorders.

     

    Informations pratiques

    Jeudi 12 janvier 2017
    De 13h30 à 15h

    Université Paris 8
    UFR MITSIC - salle A148

     

    Contact

    Mohamed Chetouani
    Professeur des universités
    Université Pierre et Marie Curie
    ISIR, CNRS-UMR7222

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