publication . Conference object . 2019

Eager to Learn vs. Quick to Complain? How a socially adaptive robot architecture performs with different robot personalities

Name: Eager to Learn vs. Quick to Complain? How a socially adaptive robot architecture performs with different robot personalities
Keywords: Social robots and social learning, Human-human and human-robot interaction and communication, Architectures for Cognitive Development and Open-Ended Learning

Ana Tanevska; Francesco Rea; Giulio Sandini; Lola Canamero; Alessandra Sciutti;

Open Access

Published: 28 Nov 2019

Summary

Abstract

A social robot that is aware of our needs and continuously adapts its behaviour to them has the potential of creating a complex, personalized, human-like interaction of the kind we are used to have with our peers in our everyday lives. We are interested in exploring how would an adaptive architecture function and personalize to different users when given different initial values of its variables, i.e. when implementing the same adaptive framework with different robot personalities. Would an architecture that learns very quickly outperform a slower but steadier learning profile? To further explore this, we propose a cognitive architecture for the humanoid robot i...

doi: 10.1109/SMC.2019.8913903

Subjects

free text keywords: Social robots and social learning, Human-human and human-robot interaction and communication, Architectures for Cognitive Development and Open-Ended Learning, Humanoid robot, Artificial intelligence, business.industry, business, Adaptive architecture, Architecture, iCub, Cognitive architecture, Adaptability, media_common.quotation_subject, media_common, Robot, Human–computer interaction, Machine learning, computer.software_genre, computer, Social robot, Computer science

Related Organizations