Using fuzzy logic in a mobile robot path controller

John Yen, Nathan Pfluger

Research output: Chapter in Book/Report/Conference proceedingConference contribution


A successful mobile robot system must have the ability to move about in a dynamic environment. Our approach to this problem is to plan a path for the robot to move from a starting point to a goal point using a map that may not have all the current information on the environment. The controller then dynamically reacts in an intelligent fashion to unplanned obstacles along the path by using sensor information and path information. This system attempts to follow a given path, adapting its course to the obstacles and shortcuts it perceives along the way. The key element of our approach is in using fuzzy logic to express and manipulate concepts needed for intelligent control. Some benefits from the use of fuzzy logic are ease of sensor fusion and generalization of desired direction of travel.

Original languageEnglish (US)
Title of host publicationFuzzy Logic and Fuzzy Control - IJCAI 1991 Workshops on Fuzzy Logic and Fuzzy Control, Proceedings
EditorsDimiter Driankov, Peter W. Eklund , Anca L. Ralescu
PublisherSpringer Verlag
Number of pages10
ISBN (Print)9783540582793
StatePublished - 1994
EventIJCAI 1991 Workshops on Fuzzy Logic and Fuzzy Control - Sydney, Australia
Duration: Aug 24 1991Aug 24 1991

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume833 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


OtherIJCAI 1991 Workshops on Fuzzy Logic and Fuzzy Control

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)


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