Behavior Understanding and Developmental Robotics (Guest Editorial)

Abstract : The scientific, technological, and application challenges that arise from the mutual interaction of developmental robotics and computational human behavior understanding give rise to two different perspectives. Robots need to be capable to learn dynamically and incrementally how to interpret, and thus understand multimodal human behavior, which means behavior analysis can be performed for developmental robotics. On the other hand, behavior analysis can also be performed through developmental robotics, since developmental social robots can offer stimulating opportunities for improving scientific understanding of human behavior, and especially to allow a deeper analysis of the semantics and structure of human behavior. The contributions to the Special Issue explore these two perspectives.
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IEEE Transactions on Autonomous Mental Development, IEEE, 2014, 6 (2), pp.77-79. 〈http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6832679〉. 〈10.1109/TAMD.2014.2328731〉
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https://hal.inria.fr/hal-01063139
Contributeur : Pierre-Yves Oudeyer <>
Soumis le : jeudi 11 septembre 2014 - 14:39:04
Dernière modification le : jeudi 12 avril 2018 - 15:30:44

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Albert Ali Salah, Pierre-Yves Oudeyer, Cetin Mericli, Javier Ruiz-Del-Solar. Behavior Understanding and Developmental Robotics (Guest Editorial). IEEE Transactions on Autonomous Mental Development, IEEE, 2014, 6 (2), pp.77-79. 〈http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6832679〉. 〈10.1109/TAMD.2014.2328731〉. 〈hal-01063139〉

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