Skip to main content
SpringerLink
Log in

An Intelligent Robot Navigation System Based on Neuro-Fuzzy Control

  • Conference paper
PRICAI 2004: Trends in Artificial Intelligence (PRICAI 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3157))

Included in the following conference series:

Abstract

Controlling mobile robot navigation system that operates in an unknown and uncertain environment is a difficult operation. Much of this difficulty is due to environmental inconsistencies and sensor inadequacies. We present a new neurofuzzy controller that controls the navigation system of a mobile robot to move safely in an unknown environment in presence of obstacles. Training data is accumulated from robot’s sensors to generate a set of fuzzy rules that govern the robot navigation system on-line.

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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

References

  1. Mahmoud, A.M., Nabawi, A.: Mobile robot navigation system based on fuzzy logic controller. Egyptian Information Journal 4(2), 1–9 (2003)

    Google Scholar 

  2. Fahmy, A.A., Hegazy, O.F.: Fuzzy Adaptive Learning Decision System with on-line neural learning. In: INFOS 2004, Cairo, Egypt, March 6-8 (2004)

    Google Scholar 

  3. Yager, R.R.: Connectives and quantifiers in fuzzy sets. Fuzzy Sets and Systems 40, 39–75 (1991)

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Cairo Higher Institute for Computer, Information and Management, Cairo Academy Golf Region, Cairo, Egypt

    Osama Fathy Hegazy

  2. Faculty of Computer and Information, Cairo University, Cairo, Egypt

    Aly Aly Fahmy

  3. Faculty of Engineering -Tanat University, Tanta, Egypt

    Osama Mosaad El Refaie

Authors
  1. Osama Fathy Hegazy
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Aly Aly Fahmy
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Osama Mosaad El Refaie
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Faculty of Engineering and Information Technology, Centre for Quantum Computation and Intelligent Systems, and Australian ACS National Committee for Artificial Intelligence, University of Technology, Sydney, Australia

    Chengqi Zhang

  2. Department of Computer Science, Auckland University of Technology, 1020, Auckland, New Zealand

    Hans W. Guesgen

  3. Artificial Intelligence Technology Centre, Auckland University of Technology, Auckland, New Zealand

    Wai-Kiang Yeap

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Hegazy, O.F., Fahmy, A.A., El Refaie, O.M. (2004). An Intelligent Robot Navigation System Based on Neuro-Fuzzy Control. In: Zhang, C., W. Guesgen, H., Yeap, WK. (eds) PRICAI 2004: Trends in Artificial Intelligence. PRICAI 2004. Lecture Notes in Computer Science(), vol 3157. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28633-2_142

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-28633-2_142

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22817-2

  • Online ISBN: 978-3-540-28633-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation