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Studies on Motion Control of a Modular Robot Using Cellular Automata

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AI 2006: Advances in Artificial Intelligence (AI 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4304))

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Abstract

In this paper we report preliminary findings of using cellular automata (CA) as an underlying architecture in controlling the motion of a five-legged brittle star typed robot. Three control models were incrementally designed making use of genetic algorithm (GA) as well as co-evolutionary algorithm in finding appropriate rules for automaton. Simulations using Open Dynamics Engine (ODE) was used to verify the rules obtained for each of the models. The indications from the results are promising in support for CA as feasible means for motion control.

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References

  1. Takashi, M.: Studies on Forward Motion of Modular Robot. MSc Dissertation, University of Ryukyu (2005)

    Google Scholar 

  2. Futenma, N., Yamada, K., Endo, S., Miyamoto, T.: Acquisition of Forward Locomotion in Modular Robot. In: Proceeding of the Artificial Neural Network in Engineering Conference, St. Louis, U.S.A, pp. 91–95 (2005)

    Google Scholar 

  3. Crutchfield, J.P., Mitchell, M., Das, R.: The Evolutionary Design of Collective Computation in Cellular Automata. In: Crutchfield, J.P., Schuster, P.K. (eds.) Evolutionary Dynamics-Exploring the Interplay of Selection, Neutrality, Accident, and Function, pp. 361–411. Oxford University Press, New York (2003)

    Google Scholar 

  4. Weisstein, E.W.: Life. Mathworld-A Wolfarm Web Resource, http://mathworld.wolfram.com/Life.html

  5. Butler, Z., Kotay, K., Rus, D., Tomita, K.: Cellular Automata for Decentralized Control of Self-Reconfigurable Robots. In: Proceedings of ICRA Workshop on Modular Self-Reconfigurable Robots (2001)

    Google Scholar 

  6. Stoy, K.: Using Cellular Automata and Gradients to Control Self-reconfiguration. Robotics and Autonomous Systems 54, 135–141 (2006)

    Article  Google Scholar 

  7. Behring, C., Bracho, M., Castro, M., Moreno, J.A.: An Algorithm for Robot Path Planning with Cellular Automata. In: ACRI 2000: Theoretical and Practical Issues on Cellular Automata, pp. 11–19. Springer, Heidelberg (2000)

    Google Scholar 

  8. Goldberg, D.E.: Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley, Reading (1989)

    MATH  Google Scholar 

  9. Koza, J.R.: Genetic Evolution and Co-evolution of Computer Programs. In: Langton, C.G., Taylor, C., Farmer, J.D., Rasmussen, S. (eds.) Artificial Life II, SFI Studies in the Science of Complexity, vol. X, pp. 603–629. Addison-Wesley, Redwood City (1991)

    Google Scholar 

  10. Rosin, C.D., Belew, R.K.: Methods for Competitive Co-evolution: Finding Opponents Worth Beating. In: Proc. 6th International conference on Genetic Algorithms, San Francisco, pp. 373–380 (1995)

    Google Scholar 

  11. Potter, M.A., Jong, K.A.D.: Cooperative Coevolution: An Architecture for Evolving Coadapted Subcomponents. Evolutionary Computation 8(1), 1–29 (2000)

    Article  Google Scholar 

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© 2006 Springer-Verlag Berlin Heidelberg

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Lal, S.P., Yamada, K., Endo, S. (2006). Studies on Motion Control of a Modular Robot Using Cellular Automata. In: Sattar, A., Kang, Bh. (eds) AI 2006: Advances in Artificial Intelligence. AI 2006. Lecture Notes in Computer Science(), vol 4304. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11941439_73

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  • DOI: https://doi.org/10.1007/11941439_73

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-49787-5

  • Online ISBN: 978-3-540-49788-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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