A social robot has to recognize human social intention in order to fully interact with him/her. People intention can be inferred by processing verbal and non-verbal communicative signs. In this work we describe an actions classification module embedded into a robot's cognitive architecture, contributing to the interpretation of users behavior.

Social signs processing in a cognitive architecture for an humanoid robot

Agnese Augello;Emanuele Cipolla;Ignazio Infantino;Adriano Manfre';Giovanni Pilato;Filippo Vella
2018

Abstract

A social robot has to recognize human social intention in order to fully interact with him/her. People intention can be inferred by processing verbal and non-verbal communicative signs. In this work we describe an actions classification module embedded into a robot's cognitive architecture, contributing to the interpretation of users behavior.
2018
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
Cognitive Architecture
Recurrent Neural Networks
Actions Classification
Pepper Robot
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/339009
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