Emerging shared action categories in robotic agents through imitation.

Abstract

In this paper we present our work on developing a shared repertoire of action categories through imitation. A population of robotic agents invents and shares a repertoire of actions by engaging in imitative interactions. We present an experimental set-up which enables us to investigate what properties agents should have in order to achieve this. Among these properties are: being able to determine the other's actions from visual observation and doing incremental unsupervised categorisation of actions.