Design and simulation of an image-based fuzzy tracking controller for a wheeled mobile robot

Ying Shing Shiao, Ching Wei Wu

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

Abstract

Image processing algorithms and fuzzy logic method are used to design a visual tracking controller for mobile robot navigation. In this paper, a wheeled mobile robot is equipped with a camera for detecting its task space. The grabbed environmental images are treated using image recognition processing to obtain target's size and position. The images are treated using input membership functions as the fuzzy logic controller input. The recognized target's size and position are input into a fuzzy logic controller in which fuzzy rules are used for inference. The inference results are output to the defuzzifier to obtain a physical control signal to control the mobile robot's movement. The velocity and direction of the mobile robot are the output of fuzzy logic controller. The differences in velocities for two wheels are used to control the robot's movement directions. The fuzzy logic controller outputs the control commands to drive the mobile robot to reach a position 50cm front of the target location. The simulation results verify that the proposed FLC is effective in navigating the mobile robot to track a moving target.

Original languageEnglish
Title of host publicationFourth International Conference on Machine Vision, ICMV 2011
Subtitle of host publicationComputer Vision and Image Analysis; Pattern Recognition and Basic Technologies
DOIs
Publication statusPublished - 2012 Feb 27
Event4th International Conference on Machine Vision: Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies, ICMV 2011 - Singapore, Singapore
Duration: 2011 Dec 92011 Dec 10

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8350
ISSN (Print)0277-786X

Other

Other4th International Conference on Machine Vision: Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies, ICMV 2011
CountrySingapore
CitySingapore
Period11-12-0911-12-10

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All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Shiao, Y. S., & Wu, C. W. (2012). Design and simulation of an image-based fuzzy tracking controller for a wheeled mobile robot. In Fourth International Conference on Machine Vision, ICMV 2011: Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies [83501D] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8350). https://doi.org/10.1117/12.921131