IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v14y2023i2d10.1007_s13198-021-01570-5.html
   My bibliography  Save this article

Fuzzy control system for visual navigation of autonomous mobile robot based on Kalman filter

Author

Listed:
  • Huifang Wang

    (Hebei Chemical and Pharmaceutical College)

Abstract

In order to improve the visual navigation effect of the autonomous mobile robot, this paper takes the eye images taken during the binocular saccade movement as the research object and the pupil position as the tracking target to construct a Kalman tracking algorithm based on the constraints of the simultaneous movement of the binoculars. Moreover, this paper applies the improved Kalman filter technology to the visual navigation of autonomous mobile robots to construct a fuzzy system of autonomous mobile robot visual navigation. Finally, this paper designs experiments to verify the fuzzy control system proposed in this paper. From the experimental research results, the Kalman filter-based fuzzy control system of autonomous mobile robot visual navigation proposed in this paper has good recognition and navigation effects, so the system can be used in the subsequent practical control of robots.

Suggested Citation

  • Huifang Wang, 2023. "Fuzzy control system for visual navigation of autonomous mobile robot based on Kalman filter," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(2), pages 786-795, April.
    • Handle: RePEc:spr:ijsaem:v:14:y:2023:i:2:d:10.1007_s13198-021-01570-5
    DOI: 10.1007/s13198-021-01570-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-021-01570-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s13198-021-01570-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ijsaem:v:14:y:2023:i:2:d:10.1007_s13198-021-01570-5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.