Learning to interpret pointing gestures: experiments with four-legged autonomous robots

Authors:
Verena V. Hafner;Frédéric Kaplan
Affiliations:
Sony CSL Paris, Paris, France;Sony CSL Paris, Paris, France
Venue:
Biomimetic Neural Learning for Intelligent Robots
Year:
2005

Citing 6
Cited 2

Computational principles of mobile robotics

Computational principles of mobile robotics
Collective Learning and Semiotic Dynamics

ECAL '99 Proceedings of the 5th European Conference on Advances in Artificial Life
A Developmental Approach Accelerates Learning of Joint Attention

ICDL '02 Proceedings of the 2nd International Conference on Development and Learning
Data Mining

Data Mining
Situated grounded word semantics

IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Imitation and mechanisms of joint attention: a developmental structure for building social skills on a humanoid robot

Computation for metaphors, analogy, and agents

Interpersonal maps: how to map affordances for interaction behaviour

Proceedings of the 2006 international conference on Towards affordance-based robot control
Towards biomimetic neural learning for intelligent robots

Biomimetic Neural Learning for Intelligent Robots

Quantified Score

Hi-index	0.00

Visualization

Abstract

In order to bootstrap shared communication systems, robots must have a non-verbal way to influence the attention of one another. This chapter presents an experiment in which a robot learns to interpret pointing gestures of another robot. We show that simple feature-based neural learning techniques permit reliably to discriminate between left and right pointing gestures. This is a first step towards more complex attention coordination behaviour. We discuss the results of this experiment in relation to possible developmental scenarios about how children learn to interpret pointing gestures.