Advertisement

Genetic evolution of a logic circuit which controls an autonomous mobile robot

  • Taku Naito
  • Ryoichi Odagiri
  • Yutaka Matsunaga
  • Manabu Tanifuji
  • Kazuyuki Murase
Evolutionary Robotics
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1259)

Abstract

In this paper, we propose a new approach to evolve controllers of autonomous robots, and experimental results of its application to a real mobile robot are described as well. It is based on two concepts: Firstly, behavior of a system in environment is generated by combinations of multiple sensory-motor reflexes, and secondly, the system behaves and evolves under the direct influence of its environment, thus the system is expected to adapt well for its environmental situations with flexibility.

The sensory-motor reflexes were realized by logic circuits connecting sensors to motors, which are composed of AND, OR and NOR elements. The genetic evolution in the environment was employed to determine the connections among the elements, thus types of reflexes and the ways of their combinations being obtained automatically by the interactions between the environment and the system itself.

This algorithm was implemented in a real miniature mobile robot, Khepera, and several experiments were performed. Khepera successfully learned to navigate and avoid obstacles in test fields. In comparison to a conventional algorithm, the acquired behavior scored higher in the values of fitness functions.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Braitenberg V. 1984. Vehicles. Experiments in Synthetic Psychology. MIT Press, Cambridge, MA.Google Scholar
  2. Mondada F., E. Franzi, P. Ienne. 1993. Mobile Robot miniaturisation: A tool for investigation in control algorithms. In: Proceedings of the third International Symposium on Experimental Robotics, Kyoto, Japan.Google Scholar
  3. Nolfi S., D. Floreano, O. Miglino, F. Mondada. 1994. How to evolve autonomous robots: different approaches in evolutionary robotics. In: Proceedings of the Fourth International Workshop on the Synthesis and Simulation of Living Systems, 190–197.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Taku Naito
    • 1
  • Ryoichi Odagiri
    • 1
  • Yutaka Matsunaga
    • 1
  • Manabu Tanifuji
    • 1
  • Kazuyuki Murase
    • 1
  1. 1.Department of Information ScienceFukui UniversityFukuiJapan

Personalised recommendations