Abstract
In this paper, research work on Arisco is described. Arisco is a social robot built around a robotic head with gesture ability, visual and auditive perception and learning. It is intended for interacting with people. The general architecture is first described in the paper. Then, the learning capacity of Arisco is addressed. It learns and performs associations between different stimulus responses through several dynamic neural networks, guided by motivational drives. Main contribution of this paper is the integration in a real robot of conditioning learning models based on a neural competitive network. A number of experiments are discussed, covering stimulus competition, habituation and first and second order conditioning.
This work has been partly supported by the Spanish Ministry of Science and Technology (project numbers DPI2002-04377-C02-01, DPI2005-06911), and by the Castilla y León local Government.
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Dominguez, S., Zalama, E., García-Bermejo, J.G., Pulido, J. (2006). Robot Learning in a Social Robot. In: Nolfi, S., et al. From Animals to Animats 9. SAB 2006. Lecture Notes in Computer Science(), vol 4095. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11840541_57
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DOI: https://doi.org/10.1007/11840541_57
Publisher Name: Springer, Berlin, Heidelberg
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