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A Comparative Study between Genetic Algorithm and Genetic Programming Based Gait Generation Methods for Quadruped Robots

  • Kisung Seo
  • Soohwan Hyun
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6024)

Abstract

Planning gaits for legged robots is a challenging task that requires optimizing parameters in a highly irregular and multidimensional space. Two gait generation methods using GA (Genetic Algorithm), GP (genetic programming) are compared to develop fast locomotion for a quadruped robot. GA-based approaches seek to optimize a pre-selected set of parameters which include locus of paw and stance parameters of initial position. A GP-based technique is an effective way to generate a few joint trajectories instead of the locus of paw positions and many stance parameters. Optimizations for two proposed methods are executed and analyzed using a Webots simulation of the quadruped robot built by Bioloid. Furthermore, simulation results for the two proposed methods are tested in a real quadruped robot, and the performance and motion features of GA-, GP -based methods are compared.

Keywords

Robot Automatic Gait Generation Quadruped Robot Genetic Algorithm Joint Space Trajectory Genetic Programming 

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References

  1. 1.
    Bekey, G.A.: Autonomous Robots-From Biological Inspiration to Implementation and Control. MIT Press, Cambridge (2005)Google Scholar
  2. 2.
    Busch, J., Ziegler, J., Aue, C., Ross, A., Sawitzki, D., Banzhaf, W.: Automatic generation of control programs for walking robots using genetic programming. In: Foster, J.A., Lutton, E., Miller, J., Ryan, C., Tettamanzi, A.G.B. (eds.) EuroGP 2002. LNCS, vol. 2278, pp. 258–267. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  3. 3.
    Chernova, S., Veloso, M.: An Evolutionary Approach To Gait Learning For Four-Legged Robots. In: Proceedings of IROS 2004, Sendai, Japan, September 2004, pp. 2562–2567 (2004)Google Scholar
  4. 4.
    Dong, H., Zhao, M., Zhang, J., Shi, Z., Zhang, N.: Gait Planning Of Quadruped Robot Based On Third-Order Spline Interpolation. In: Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, Beijing, China, October 9-15, pp. 5756–5761 (2006)Google Scholar
  5. 5.
    Goldberg, D.E.: Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley, Reading (1989)zbMATHGoogle Scholar
  6. 6.
    Golubovic, D., Hu, H.: Parameter Optimisation of an Evolutionary Algorithm for On-line Gait Generation of Quadruped Robots. In: Proceedings of IEEE International Conference on Industrial Technology – ICIT 2003, Maribor, Slovenia, December 2003, pp. 221–226 (2003)Google Scholar
  7. 7.
    Hornby, G.S., Takamura, S., Yamamoto, T., Fujita, M.: Autonomous Evolution of Dynamic Gaits with Two Quadruped Robots. IEEE Trans. Robotics 21(3), 402–410 (2005)CrossRefGoogle Scholar
  8. 8.
    Hohl, L., Tellez, R., Michel, O., Ijspeert, A.J.: Aibo and Webots: Simulation, wireless remote control and controller transfer. Robotics and Autonomous Systems 54(6), 472–485 (2006)CrossRefGoogle Scholar
  9. 9.
    Koza, J.R.: Genetic Programming: On the Programming of Computers by Means of Natural Selection. MIT Press, Cambridge (1992)zbMATHGoogle Scholar
  10. 10.
    Mericli, T., Akın, H.L., Mericli, C., Kaplan, K., Celik, B.: The Cerbus 2005 Team ReportGoogle Scholar
  11. 11.
    Robotis Corporation, http://www.robotis.com
  12. 12.
    Röfer, T.: Evolutionary Gait-Optimization Using a Fitness Function Based on Proprioception. In: Nardi, D., Riedmiller, M., Sammut, C., Santos-Victor, J. (eds.) RoboCup 2004. LNCS (LNAI), vol. 3276, pp. 310–322. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  13. 13.
    Seo, K., Hyun, S.: Genetic Programming Based Automatic Gait Generation for Quadruped Robots. In: Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2008, Atlanta, July 2008, pp. 293–294 (2008)Google Scholar
  14. 14.
    Tenreiro, J.A., Silva, M.F.: An Overview of Legged Robots. In: Proceedings of the International Symposium on Mathematical Methods in Engineering, pp. 27–29 (2006)Google Scholar
  15. 15.
    Wang, Z.D., Wong, J., Tam, T., Leung, B., Kim, M.S., Brooks, J., Chang, A., Huben, N.V.: The 2002 rUNSWift Team Report (2002)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Kisung Seo
    • 1
  • Soohwan Hyun
    • 1
  1. 1.Dept. of Electronic EngineeringSeokyeong UniversitySeoulKorea

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