Abstract
This demonstration illustrates the AMAS self-adaptive cooperative approach to manage task allocation for robot teams in the ROSACE’s forest fire-fighting scenario. Experimental validation is based on two prototypes sharing a common simulated environment, but different robot architecture and processing.
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Lacouture, J., Gascueña, J.M., Gleizes, MP., Glize, P., Garijo, F.J., Fernández-Caballero, A. (2012). ROSACE: Agent-Based Systems for Dynamic Task Allocation in Crisis Management. In: Demazeau, Y., Müller, J., Rodríguez, J., Pérez, J. (eds) Advances on Practical Applications of Agents and Multi-Agent Systems. Advances in Intelligent and Soft Computing, vol 155. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28786-2_32
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DOI: https://doi.org/10.1007/978-3-642-28786-2_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28785-5
Online ISBN: 978-3-642-28786-2
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