Evolving a novel bio-inspired controller in reconfigurable robots

  • Authors:
  • Jürgen Stradner;Heiko Hamann;Thomas Schmickl;Ronald Thenius;Karl Crailsheim

  • Affiliations:
  • Artificial Life Laboratory of the Department of Zoology, Karl-Franzens University Graz, Graz, Austria;Artificial Life Laboratory of the Department of Zoology, Karl-Franzens University Graz, Graz, Austria;Artificial Life Laboratory of the Department of Zoology, Karl-Franzens University Graz, Graz, Austria;Artificial Life Laboratory of the Department of Zoology, Karl-Franzens University Graz, Graz, Austria;Artificial Life Laboratory of the Department of Zoology, Karl-Franzens University Graz, Graz, Austria

  • Venue:
  • ECAL'09 Proceedings of the 10th European conference on Advances in artificial life: Darwin meets von Neumann - Volume Part I
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

Evolutionary robotics uses evolutionary computation to optimize physically embodied agents. We present here a framework for performing off-line evolution of a pluripotent robot controller that manages to form multicellular robotic organisms from a swarm of autonomously moving small robot modules. We describe our evolutionary framework, show first results and discuss the advantages and disadvantages of our off-line evolution approach. In detail, we explain the single parts of the framework and a novel homeostatic hormone-based controller, which is shaped by artificial evolution to control both, the non-aggregated single robotic modules and the joined high-level robotic organisms. As a first step we present results of this evolutionary shaped controller showing the potential for different motion behaviours.