Study of a Multi-Robot Collaborative Task through Reinforcement Learning
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- Pereda J., Martín-Ortiz M., de Lope J., de la Paz F. (2011) Study of a Multi-Robot Collaborative Task through Reinforcement Learning. 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
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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