Skip to main content

Gait Control for Biped Robot Using Fuzzy Wavelet Neural Network

  • Conference paper
Computational Intelligence and Security (CIS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3801))

Included in the following conference series:

  • 1681 Accesses

Abstract

A new reference trajectory of walking on the ground for a five-link biped robot, considering both the SSP and the DSP, is developed firstly. And a fuzzy wavelet neural network controller to generate walking gaits to follow the reference trajectories is presented subsequently. Furthermore, an error compensation algorithm is presented for high accuracy. The reference trajectories are designed by solving the coefficients of time polynomial functions of the trajectories of the hip and the swing tip, through the constraint equations. The FWN controller is trained as inverse kinematic model of the biped robot by backpropagation algorithm offline. Simulation results show that the FWN controller can generate the gaits following the reference trajectories as close as possible, and the error compensation algorithm can decrease the error rapidly by iterative calculation.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Zarrugh, M.Y., Radcliffe, C.W.: Computer generation of human gait kinematics. Journal of Biomechanics 12, 99–111 (1979)

    Article  Google Scholar 

  2. McGeer, T.: Passive walking with knees. In: Pro. IEEE Int. Conf. Robotics and Automation, pp. 1640–1645 (1990)

    Google Scholar 

  3. Silva, F.M., Machado, J.A.T.: Energy analysis during biped walking. In: Proc. IEEE Int. Conf. Robotics and Automation, pp. 59–64 (1999)

    Google Scholar 

  4. Hirai, K., Hirose, M., Haikawa, Y., Takenaka, T.: The development of Honda humanoid robot. In: Proc. IEEE Int. Conf. Robotics and Automation, pp. 1321–1326 (1998)

    Google Scholar 

  5. Murakami, S., Yamamoto, E., Fujimoto, K.: Fuzzy Control of Dynamic Biped Walking Robot. In: Pro.IEEE.Conf.Fuzzy Systems, vol. 1(4), pp. 77–82 (1995)

    Google Scholar 

  6. Juang, J.G.: Fuzzy Neural Network Approaches for Robotic Gait Synthesis. IEEE Transactions on System, Man, Cybernetics 30, 594–601 (2000)

    Article  Google Scholar 

  7. Furusho, J., Masubuchi, M.: Control of a Dynamical Biped Locomotion System for Steady Walking. Journal of Dynamic Systems, Measurement, and Control 108, 111–118 (1986)

    Article  MATH  Google Scholar 

  8. Xiuping, M., Qiong, W.: Sagittal Gait Synthesis for a Five-Link Biped Robot. In: Pro. Of the 2004 American Control Conference, pp. 4004–4009 (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Liu, P., Han, J. (2005). Gait Control for Biped Robot Using Fuzzy Wavelet Neural Network. In: Hao, Y., et al. Computational Intelligence and Security. CIS 2005. Lecture Notes in Computer Science(), vol 3801. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596448_19

Download citation

  • DOI: https://doi.org/10.1007/11596448_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30818-8

  • Online ISBN: 978-3-540-31599-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics