Obstacle avoidance for mobile robots using an image-based fuzzy controller

Keigo Watanabe, Tatsuya Kato, Shoichi Maeyama

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

4 Citations (Scopus)

Abstract

In this paper, a new method is proposed to realize obstacle avoidance for an autonomous mobile robot, by applying image-based control. Although many obstacle avoidance techniques are proposed until now, it is shown that it becomes possible to achieve obstacle avoidance by image-based fuzzy control, without resort to the estimation of self-position said to be indispensable in control of an autonomous mobile robot. The validity of the proposal technique is proved through real system experiments for a steered type four-wheel mobile robot.

Original languageEnglish
Title of host publicationProceedings, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society
Pages6392-6397
Number of pages6
DOIs
Publication statusPublished - Dec 1 2013
Event39th Annual Conference of the IEEE Industrial Electronics Society, IECON 2013 - Vienna, Austria
Duration: Nov 10 2013Nov 14 2013

Publication series

NameIECON Proceedings (Industrial Electronics Conference)

Other

Other39th Annual Conference of the IEEE Industrial Electronics Society, IECON 2013
CountryAustria
CityVienna
Period11/10/1311/14/13

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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