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International Conference on Advances in Computer Entertainment Technology

ACE 2012: Advances in Computer Entertainment pp 287–296Cite as

Emergent Gait Evolution of Quadruped Artificial Life

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7624))

Abstract

We developed a simulation model and generated a gait pattern for quadruped artificial life. The model is based on three dimensional physical simulation using a physics engine. Neural networks are used to control each leg, and the genetic algorithm is used to evolve the gait. The generated gait pattern is similar to the gait called “walk” in real-world animals. An analysis is conducted of the developing gait pattern, in addition to the final result. The emergent walk-like gait is similar to a newborn baby crawling on the floor, and it would appear that the artificial life struggles to go straight ahead on the midway of evolution.

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References

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Author information

Authors and Affiliations

  1. Graduate School of Interdisciplinary Information Studies, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, Japan

    Kinyo Kou

  2. Interfaculty Initiative in Information Studies, The University of Tokyo, Japan

    Yoichiro Kawaguchi

Authors
  1. Kinyo Kou
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  2. Yoichiro Kawaguchi
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Editor information

Editors and Affiliations

  1. Human Media Interaction, University of Twente, Drienerlolaan 5, 7522 NB, Enschede, The Netherlands

    Anton Nijholt  & Dennis Reidsma  & 

  2. CITI, Faculdade de Ciências e Tecnologia, Quinta da Torre, Universidade Nove de Lisboa, 2829-516, Caparica, Portugal

    Teresa Romão

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Kou, K., Kawaguchi, Y. (2012). Emergent Gait Evolution of Quadruped Artificial Life. In: Nijholt, A., Romão, T., Reidsma, D. (eds) Advances in Computer Entertainment. ACE 2012. Lecture Notes in Computer Science, vol 7624. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34292-9_20

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  • DOI: https://doi.org/10.1007/978-3-642-34292-9_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34291-2

  • Online ISBN: 978-3-642-34292-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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