Towards an Affective Cognitive Architecture for Human-Robot Interaction for the iCub Robot

Ana Tanevska 1 Francesco Rea 1 Giulio Sandini 1 Alessandra Sciutti 1
1 RBCS - Department of Robotics, Brain and Cognitive Sciences
Abstract : The ability to reason for itself and make decisions for its own actions is a highly desirable ability for robots engaged in human-robot interaction (HRI). By being able to perceive the environment, select the optimal action w.r.t. the state of the environment and then observe and learn from the reactions that occur, a robot can be said to be fully autonomous in the interaction. There have been several different types of frameworks focusing on cognitive functionalities for autonomous robots, and one particularly promising venue for cognition focuses on the affect-driven cognitive frameworks. This paper presents an ongoing study focused on developing an affect-based architecture for the humanoid robot iCub with the purpose of having fully autonomous interactions with humans .
Keywords : Cognitive interaction human-robot interaction cognitive architecture humanoid robots affective computing
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Communication dans un congrès
1st Workshop on “Behavior, Emotion and Representation: Building Blocks of Interaction”, Oct 2017, Bielefeld, Germany
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Soumis le : jeudi 12 octobre 2017 - 14:34:23
Dernière modification le : mercredi 25 octobre 2017 - 15:44:52

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Ana Tanevska, Francesco Rea, Giulio Sandini, Alessandra Sciutti. Towards an Affective Cognitive Architecture for Human-Robot Interaction for the iCub Robot. 1st Workshop on “Behavior, Emotion and Representation: Building Blocks of Interaction”, Oct 2017, Bielefeld, Germany. 〈hal-01615491〉

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