A Fuzzy Logic Based Robot Navigation System

John Yen, Nathan Pfluger

Research output: Contribution to conferencePaperpeer-review

19 Scopus citations

Abstract

One of the key issues in mobile robot navigation is coping with uncertainty in a dynamic environment. One possible solutions lies in behaviors, but there is a problem with standard behavior arbitration techniques. To combat this problem, David Payton introduced a commandarbitration net that minimizes the loss of information between behaviors. Wehave extended his approach using fuzzy logic. Somebenefits of using fuzzy logic include simplicity, extensibility and understandability, especially in the area of sensor fusion.

Original languageEnglish (US)
Pages195-199
Number of pages5
StatePublished - 1992
Event1992 AAAI Fall Symposium on Applications of AI to Real-World Autonomous Mobile Robots - Cambridge, United States
Duration: Oct 23 1992Oct 25 1992

Conference

Conference1992 AAAI Fall Symposium on Applications of AI to Real-World Autonomous Mobile Robots
Country/TerritoryUnited States
CityCambridge
Period10/23/9210/25/92

All Science Journal Classification (ASJC) codes

  • General Engineering

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