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Fuzzy logic based mobile robot area filling with vision system for indoor environments

  • Yili Fu*
  • , Sherman Y.T. Lang
  • *Corresponding author for this work
  • National Research Council of Canada

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper we present an area filling mobile robot system for indoor environment based on fuzzy logic and behavioral control using up-to-date environmental heterogeneous information perceived from range sensors and vision system. For gathering environmental information in the proximity of the robot and avoiding collisions with and obstacles when navigating, infrared and ultrasonic sensors are utilized on the mobile robot system. Based on human expert knowledge, several basic behaviors for area filling are implemented using fuzzy inference. By exploiting straight lines features found on standard suspended ceilings, orientation error is corrected effectively while following a path during area filling. A finite state machine mechanism is used to control the behavior transitions and accomplish the area filling in the desired region. Experiments indicate the effectiveness of the system.

Original languageEnglish
Title of host publicationProceedings - 1999 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 1999
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages326-331
Number of pages6
ISBN (Electronic)0780358066, 9780780358065
StatePublished - 1999
Event3rd IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 1999 - Monterey, United States
Duration: 8 Nov 19999 Nov 1999

Publication series

NameProceedings - 1999 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 1999

Conference

Conference3rd IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 1999
Country/TerritoryUnited States
CityMonterey
Period8/11/999/11/99

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