Study of a Multi-Robot Collaborative Task through Reinforcement Learning

  • Juan Pereda
  • Manuel Martín-Ortiz
  • Javier de Lope
  • Félix de la Paz
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6686)

Abstract

A open issue in multi-robots systems is coordinating the collaboration between several agents to obtain a common goal. The most popular solutions use complex systems, several types of sensors and complicated controls systems. This paper describes a general approach for coordinating the movement of objects by using reinforcement learning. Thus, the method proposes a framework in which two robots are able to work together in order to achieve a common goal. We use simple robots without any kind of internal sensors and they only obtain information from a central camera. The main objective of this paper is to define and to verify a method based on reinforcement learning for multi-robot systems, which learn to coordinate their actions for achieving common goal.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Juan Pereda
    • 1
  • Manuel Martín-Ortiz
    • 1
  • Javier de Lope
    • 2
  • Félix de la Paz
    • 3
  1. 1.ITRB Labs ResearchTechnology Development and Innovation, S.L.
  2. 2.Computational Cognitive RoboticsUniversidad Politécnica de Madrid
  3. 3.Dept. Artificial IntelligenceUNED

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