2009 Special Issue: Emergence of structured interactions: From a theoretical model to pragmatic robotics

Authors:
A. Revel;P. Andry
Affiliations:
ETIS, CNRS UMR 8051, ENSEA, Univ Cergy-Pontoise, F-95000 Cergy-Pontoise, France;ETIS, CNRS UMR 8051, ENSEA, Univ Cergy-Pontoise, F-95000 Cergy-Pontoise, France
Venue:
Neural Networks
Year:
2009

Citing 4
Cited 1

Understanding Intelligence

Understanding Intelligence
Sync: The Emerging Science of Spontaneous Order

Sync: The Emerging Science of Spontaneous Order
Information and Self-Organization: A Macroscopic Approach to Complex Systems (Springer Series in Synergetics)

Information and Self-Organization: A Macroscopic Approach to Complex Systems (Springer Series in Synergetics)
The role of internal oscillators for the one-shot learning of complex temporal sequences

ICANN'07 Proceedings of the 17th international conference on Artificial neural networks

Introduction: Multimodal communication in animals, humans and robots: An introduction to perspectives in brain-inspired informatics

Neural Networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this article, we present two neural architectures for the control of socially interacting robots. Beginning with a theoretical model of interaction inspired by developmental psychology, biology and physics, we present two sub-cases of the model that can be interpreted as ''turn-taking'' and ''synchrony'' at the behavioral level. These neural architectures are both detailed and tested in simulation. A robotic experiment is even presented for the ''turn-taking'' case. We then discuss the interest of such behaviors for the development of further social abilities in robots.