Learning to Coordinate Multi-robot Competitive Systems by Stimuli Adaptation

Authors:
José Antonio H.;Javier Lope;Darío Maravall
Affiliations:
Dep. Sistemas Informáticos y Computación, Universidad Complutense de Madrid,;Perception for Computers and Robots, Universidad Politécnica de Madrid,;Perception for Computers and Robots, Universidad Politécnica de Madrid,
Venue:
IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part II: Bioinspired Applications in Artificial and Natural Computation
Year:
2009

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Abstract

The area of competitive robotic systems usually yields to highly complicated strategies that must be achieved by complex learning architectures since analytic solutions seems to be unpractical or unfeasible at all. In this work we design an experiment in order to study and validate a model in the task of learning to coordinate a robot team to achieve complex goals by means of a simulation of a multi-robot competitive task that imitates a complex prey/predator system composed by three robots: predator, defender and prey. By means of such simulation we validate a general model about the complex phenomena of adaptation, anticipation and rationality.