FUZZY LOGIC-BASED NAVIGATION FOR AN AUTONOMOUS ROBOT

This paper describes a fuzzy logic-based real-time navigation system for a mobile robot navigating in an unknown environment. The controller is initialized using available behavioral knowledge. A reinforcement learning algorithm, using the Fuzzy Q-Learning paradigm allows on-line fine tuning of the controller parameters.

• Supplemental Notes:
  • Publication Date: 1995 Published By: Pergamon, Oxford
• Corporate Authors:

  Universitat Karlsruhe

  ,    

  Universite de Bordeaux I

  ,    

  Terza Universita degli studi di Roma

  ,    

  Institut national des sciences appliquees de Rennes

  ,    

  Universidad de Oviedo

  ,    

  Centre National de la Recherche Scientifique

  Lab d'Automatique et d'Analyse des Systemes
  Toulouse,   France 

  Universita di Genova

  ,   Italy 

  Technische Universitat Munchen

  21 Arcesstrasse
  8000 Munich,   Germany 

  Universidad de Sevilla. Departamento de Ingenieria de Sistemas y Automatica

  ,    

  Universite Paris-Sud. Institut d'electronique fondamentale

  ,    

  University of Warwick

  ,    
• Authors:
  • Glorennec, Pierre Yves
• Publication Date: 1995

Language

• English

Media Info

• Pagination: p. 45-49
• Serial:
  • ICASAV '95 (1995 : Toulouse, France). Intelligent components for autonomous and semi-autonomous vehicles, ICASAV '95 : a postprint volume from the IFAC workshop, Toulouse, France, 25-26 October 1995
  • Publisher: Universitat Karlsruhe

Subject/Index Terms

• TRT Terms: Fuzzy logic; Fuzzy systems; Robotics

Filing Info

• Accession Number: 00776330
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH
• Created Date: Nov 17 1999 12:00AM