In this paper, we introduce a novel method for learning simultaneously a task and the related social interaction. We present an architecture based on Learning Classifier Systems that simultaneously learns a model of social interaction and uses it to bootstrap task learning, while minimizing the number of interactions with the human. We validate our method in simulation and we prove the feasibility of our approach on a real robot.
CITATION STYLE
Najar, A., Sigaud, O., & Chetouani, M. (2015). Social-task learning for HRI. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9388 LNCS, pp. 472–481). Springer Verlag. https://doi.org/10.1007/978-3-319-25554-5_47
Mendeley helps you to discover research relevant for your work.