01835nas a2200193 4500008003900000020002200039245006400061210006100125260005700186300001200243520122700255653001301482100001501495700001801510700001501528700001501543700001701558856006601575 2014 d a978-3-319-09434-200aI-CLIPS Brain: A Hybrid Cognitive System for Social Robots 0 aICLIPS Brain A Hybrid Cognitive System for Social Robots a Milan, Italy, July 30 – August 1bSpringer-Verlag a213-2243 a
Sensing and interpreting the interlocutor’s social behaviours is a core challenge in the development of social robots. Social robots require both an innovative sensory apparatus able to perceive the “social and emotional world” in which they act and a cognitive system able to manage this incoming sensory information and plan an organized and pondered response. In order to allow scientists to design cognitive models for this new generation of social machines, it is necessary to develop control architectures that can be easily used also by researchers without technical skills of programming such as psychologists and neuroscientists. In this work an innovative hybrid deliberative/reactive cognitive architecture for controlling a social humanoid robot is presented. Design and implementation of the overall architecture take inspiration from the human nervous system. In particular, the cognitive system is based on the Damasio’s thesis. The architecture has been preliminary tested with the FACE robot. A social behaviour has been modeled to make FACE able to properly follow a human subject during a basic social interaction task and perform facial expressions as a reaction to the social context.
10aRobotics1 aMazzei, D.1 aCominelli, L.1 aLazzeri, N1 aZaraki, A.1 aDe Rossi, D. uhttp://link.springer.com/chapter/10.1007/978-3-319-09435-9_19