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A new fuzzy intelligent obstacle avoidance control strategy for wheeled mobile robot

  • Limin Ren
  • , Weidong Wang*
  • , Zhijiang Du
  • *Corresponding author for this work
  • Harbin Institute of Technology
  • Beihua University

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

Abstract

Obstacle avoidance is the basic requirement for any autonomous mobile robot. Fuzzy intelligent obstacle avoidance strategy is proposed in this paper for the wheeled mobile robot tracking a target in the environment with obstacles, which is composed of two fuzzy logic controllers and an intelligent coordinator. Run-to-goal fuzzy controller makes the robot approach the target when there are no obstacles in the environment; Fuzzy obstacle controller will generate obstacle avoidance commands according to target orientation information and obstacle information when the robot detecting obstacles via its onboard sensors. Intelligent coordinator is designed to coordinate the two actions mentioned above to generate robot's ultimate control command. Ultimately, the robot tracks the target and realizes obstacle avoidance meanwhile. Simulations and experiments on robot platform validate the effectiveness proposed by the paper.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Mechatronics and Automation, ICMA 2012
Pages1732-1737
Number of pages6
DOIs
StatePublished - 2012
Event2012 9th IEEE International Conference on Mechatronics and Automation, ICMA 2012 - Chengdu, China
Duration: 5 Aug 20128 Aug 2012

Publication series

Name2012 IEEE International Conference on Mechatronics and Automation, ICMA 2012

Conference

Conference2012 9th IEEE International Conference on Mechatronics and Automation, ICMA 2012
Country/TerritoryChina
CityChengdu
Period5/08/128/08/12

Keywords

  • Fuzzy logic controller
  • Intelligent coordinator
  • Obstacle avoidance control
  • Wheeled mobile robot

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