The Evolution of Signal Communication for the e-puck Robot

  • Fernando Montes-Gonzalez
  • Fernando Aldana-Franco
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7094)


In this paper we report our experiments with the e-puck robots for developing a communication system using evolutionary robotics. In order to do the latter we follow the evolutionary approach by using Neural Networks and Genetic Algorithms. The robots develop a communication scheme for solving tasks like: locating food areas, avoiding obstacles, approaching light sources and locating sound-sources (other robots emitting sounds). Evorobot* and Webots simulators are used as tools for computing the evolutionary process and optimization of the weights of neural controllers. As a consequence, two different kinds of neural controllers emerge. On one hand, one controller is used for robot movement; on the other hand the second controller process sound signals.


Evolutionary Robotics Genetic Algorithms Mobile Robots 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Fernando Montes-Gonzalez
    • 1
  • Fernando Aldana-Franco
    • 1
  1. 1.Department of Artificial IntelligenceUniversidad VeracruzanaXalapaMexico

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