ROSACE: Agent-Based Systems for Dynamic Task Allocation in Crisis Management

  • Jérôme Lacouture
  • José Manuel Gascueña
  • Marie-Pierre Gleizes
  • Pierre Glize
  • Francisco J. Garijo
  • Antonio Fernández-Caballero
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 155)

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.

Keywords

Task Allocation Crisis Management Robot Team Agent Pattern Cooperation Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Jérôme Lacouture
    • 1
  • José Manuel Gascueña
    • 2
  • Marie-Pierre Gleizes
    • 1
  • Pierre Glize
    • 1
  • Francisco J. Garijo
    • 1
  • Antonio Fernández-Caballero
    • 2
  1. 1.Institut de Recherche en Informatique de Toulouse, Equipe SMACUniversité Paul SabatierToulouse Cedex 9France
  2. 2.Departamento de Sistemas Informáticos & Instituto de Investigación en Informática de AlbaceteUniversidad de Castilla-La ManchaAlbaceteSpain

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