Abstract
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.
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Najar, A., Sigaud, O., Chetouani, M. (2015). Social-Task Learning for HRI. In: Tapus, A., André, E., Martin, JC., Ferland, F., Ammi, M. (eds) Social Robotics. ICSR 2015. Lecture Notes in Computer Science(), vol 9388. Springer, Cham. https://doi.org/10.1007/978-3-319-25554-5_47
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DOI: https://doi.org/10.1007/978-3-319-25554-5_47
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