Skip to main content
SpringerLink
Log in

Mobile Robot Motion using Neural Networks: An Overview

  • Conference paper
Autonome Mobile Systeme 2005

Part of the book series: Informatik aktuell ((INFORMAT))

  • 2881 Accesses

Abstract

In this paper, we provide a summary of our recent results in motion control of mobile robots using recurrent neural networks. The most important asociated problems are discussed.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 79.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
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. L. Feldkamp, G. Puskorius, and P. Moore. Adaptation from Fixed weight Dynamic Networks. In Proc. IEEE Int. Conf. on NNs, Washington, 1996.

    Google Scholar 

  2. L. Feldkamp, G.V. Puskorius, and P.C. Moore. Fixed weight Controller for Multiple Systems. In Proc. IEEE Int. Conf. on NNs, Texas, June 1997.

    Google Scholar 

  3. R. Fierro and F. L. Lewis. Control of a Nonholonomic Mobile Robot Using Neural Networks. IEEE Trans, on NNs, pages 589–600, July 1998.

    Google Scholar 

  4. T. Fukao, H. Nakagawa, and N. Adachi. Adaptive Tracking Control of a Nonholo-nomic Mobile Robot. IEEE trans., on Robotics and Automation, 16(5):609–615, October 2000.

    Article  Google Scholar 

  5. I. kolmanovsky and N. H. McClamroch. Development in Nonholonomic Control Problems. IEEE Control Systems, pages 20–36, December 1995.

    Google Scholar 

  6. J. Lo. Adaptive vs. Accommodative Neural Networks for Adaptive System Identi-_cation. In Proc. Int. Conf. on NNs, 2001.

    Google Scholar 

  7. M. Oubbati, M. Schanz, and P. Levi. Meta-learning for Adaptive Identi_cation of Nonlinear Dynamical Systems. In Proc. IEEE Int. Symp. on Intelligent Control, Cyprus, June 2005.

    Google Scholar 

  8. D. Prokhorov, L. Feldkamp, and I. Tyukin. Adaptive Behavior with Fixed Weights in Recurrent Neural Networks: An Overview. In Proc. Int. Conf. on NNs, Hawaii, May 2002.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Parallel and Distributed Systems, University of Stuttgart, Universitaetsstrasse 38, D-70569, Stuttgart, Germany

    Mohamed Oubbati, Michael Schanz & Paul Levi

Authors
  1. Mohamed Oubbati
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Michael Schanz
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Paul Levi
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Fakultät Informatik, Elektrotechnik und Informationstechnik Institut für Parallele und Verteilte Systeme (IPVS), Universität Stuttgart, Abt. Bildverstehen Universitätsstr. 38, 70569, Stuttgart

    Paul Levi , Michael Schanz , Reinhard Lafrenz  & Viktor Avrutin , ,  & 

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Oubbati, M., Schanz, M., Levi, P. (2006). Mobile Robot Motion using Neural Networks: An Overview. In: Levi, P., Schanz, M., Lafrenz, R., Avrutin, V. (eds) Autonome Mobile Systeme 2005. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-30292-1_38

Download citation

Publish with us

Policies and ethics

Search

Navigation