Incremental Evolution of Stigmergy-Based Multi Robot Controllers Through Utility Functions

  • Authors:
  • P. Caamaño;J. A. Becerra;R. J. Duro;F. Bellas

  • Affiliations:
  • Integrated Group for Engineering Research, Universidade da Coruña, Spain;Integrated Group for Engineering Research, Universidade da Coruña, Spain;Integrated Group for Engineering Research, Universidade da Coruña, Spain;Integrated Group for Engineering Research, Universidade da Coruña, Spain

  • Venue:
  • KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
  • Year:
  • 2007

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Abstract

This paper deals with the problem of jointly designing the behaviors of a group of robots so as to produce a particular desired collaborative behavior in stigmergy-based settings. In this line, the approach followed has its roots on traditional evolutionary behavior based robotics techniques, but instead of trying to evolve the whole controller for a particular complex behavior in one step, an incremental approach is used by combining the results from different evolutionary/learning processes in different settings for the construction of a complete controller architecture. The key aspects when trying to generalize the process of obtaining the controllers from single robots to multi robot systems are discussed in the framework of a set of simple collaborative tasks, focusing the discussion on the utility functions that guide the evolution.