Emergence of structured interactions: from a theoretical model to pragmatic robotics.
In this article, we present two neural architectures for the control of socially interacting robots. Beginning with a theoretical model of interaction inspired by developmental psychology, biology and physics, we present two sub-cases of the model that can be interpreted as "turn-taking" and "synchrony" at the behavioral level. These neural architectures are both detailed and tested in simulation. A robotic experiment is even presented for the "turn-taking" case. We then discuss the interest of such behaviors for the development of further social abilities in robots.
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ETIS, CNRS UMR 8051, ENSEA, Univ Cergy-Pontoise, F-95000 Cergy-Pontoise, France. revel@ensea.fr
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D000465:Algorithms; D001185:Artificial Intelligence; D003142:Communication; D003198:Computer Simulation; D003199:Computer Systems; D015509:Developmental Biology; D007398:Interpersonal Relations; D008960:Models, Psychological; D016571:Neural Networks, Computer; D012371:Robotics / Q000379:methods*; D012919:Social Behavior