Abstract
Communication is a desirable skill for robots. We describe a method of how these skills could be learned. A control architecture of connectionist model combining life-long learning and predefined behaviours is developed and implemented in a physical system of two autonomous robots. A teaching scenario based on movement imitation is used to teach a basic non grammatical language. Teaching is done from a teacher robot to a student robot. While following the teacher, the student robot learns a basic vocabulary concerning its movements and location.
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© 1997 Springer-Verlag Berlin Heidelberg
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Billard, A., Hayes, G. (1997). Learning to communicate through imitation in autonomous robots. In: Gerstner, W., Germond, A., Hasler, M., Nicoud, JD. (eds) Artificial Neural Networks — ICANN'97. ICANN 1997. Lecture Notes in Computer Science, vol 1327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0020246
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DOI: https://doi.org/10.1007/BFb0020246
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