In this paper, we study Fractal Gene Regulatory Networks (FGRNs) evolved as local controllers for a modular robot in snake topology that reacts adaptively to environment. The task is to have the robot moving in a specific direction until it reaches a randomly placed target-zone and stays there. We point to a characteristic of FGRN model, namely "state-switching property" and demonstrate it as a beneficial property in evolving reactive controllers. © 2012 Springer-Verlag.
CITATION STYLE
Zahadat, P., Schmickl, T., & Crailsheim, K. (2012). Evolving reactive controller for a modular robot: Benefits of the property of state-switching in fractal gene regulatory networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7426 LNAI, pp. 209–218). https://doi.org/10.1007/978-3-642-33093-3_21
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