Authors
Alen Vrečko
Marko Mahnič
Miroslav Janiček
Geert-Jan M. Kruijff
Marc Hanheide
Nick Hawes
Thomas Keller
Michael Zillich
Kai Zhou
Links
A system for interactive learning in dialogue with a tutor
IEEE/RSJ International Conference on Intelligent Robots and Systems IROS 2011, 2011,
In this paper we present representations and mechanisms that facilitate continuous learning of visual concepts in dialogue with a tutor and show the implemented robot system. We present how beliefs about the world are created by processing visual and linguistic information and show how they are used for planning system behaviour with the aim at satisfying its internal drive – to extend its knowledge. The system facilitates different kinds of learning initiated by the human tutor or by the system itself. We demonstrate these principles in the case of learning about object colours and basic shapes.