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
Inglese
123
63
68
Sì, ma tipo non specificato
Cognitive Architecture
Recurrent Neural Networks
Actions Classification
Pepper Robot
6
info:eu-repo/semantics/article
262
Augello, Agnese; Cipolla, Emanuele; Infantino, Ignazio; Manfre', Adriano; Pilato, Giovanni; Vella, Filippo
01 Contributo su Rivista::01.01 Articolo in rivista
none
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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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