Selective Method Based on Auctions for Map Inspection by Robotic Teams

  • Manuel Martín-Ortiz
  • Juan Pereda
  • Javier de Lope
  • Féliz de la Paz
Conference paper

DOI: 10.1007/978-3-642-21344-1_19

Volume 6686 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Martín-Ortiz M., Pereda J., de Lope J., de la Paz F. (2011) Selective Method Based on Auctions for Map Inspection by Robotic Teams. In: Ferrández J.M., Álvarez Sánchez J.R., de la Paz F., Toledo F.J. (eds) Foundations on Natural and Artificial Computation. IWINAC 2011. Lecture Notes in Computer Science, vol 6686. Springer, Berlin, Heidelberg

Abstract

In the inspection of a known environment by a team of robots, communication problems may exists between members of the team, even, due to the hostile environment these members can be damaged. In this paper, a redundant, robust and fault tolerant method to cover a known environment using a multi-agent system and where the communications are not guaranteed is presented. Through a simple auction system for cooperation and coordination, the aim of this method is to provide an effective way to solve communication or hardware failures problems in the inspection task of a known environment. We have conducted several experiments in order to verify and validate the proposed approach. The results are commented and compared to other methods.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Manuel Martín-Ortiz
    • 1
  • Juan Pereda
    • 1
  • Javier de Lope
    • 2
  • Féliz de la Paz
    • 3
  1. 1.ITRB Labs, Research, Technology Development and Innovation, S.L
  2. 2.Computational Cognitive RoboticsUniversidad Politécnica de MadridSpain
  3. 3.Dept. Artificial IntelligenceUNEDSpain