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Mobile robot visual navigation based on fuzzy logic and optical flow approaches

Author

Listed:
  • Mohamed Nadour

    (University of Djelfa
    University of Biskra)

  • Mohamed Boumehraz

    (University of Biskra)

  • Lakhmissi Cherroun

    (University of Djelfa)

  • Vicenç Puig

    (Polytechnic University of Catalonia (UPC))

Abstract

This paper presents the design of mobile robot visual navigation system in indoor environment based on fuzzy logic controllers (FLC) and optical flow (OF) approach. The proposed control system contains two Takagi–Sugeno fuzzy logic controllers for obstacle avoidance and goal seeking based on video acquisition and image processing algorithm. The first steering controller uses OF values calculated by Horn–Schunck algorithm to detect and estimate the positions of the obstacles. To extract information about the environment, the image is divided into two parts. The second FLC is used to guide the robot to the direction of the final destination. The efficiency of the proposed approach is verified in simulation using Visual Reality Toolbox. Simulation results demonstrate that the visual based control system allows autonomous navigation without any collision with obstacles.

Suggested Citation

  • Mohamed Nadour & Mohamed Boumehraz & Lakhmissi Cherroun & Vicenç Puig, 2019. "Mobile robot visual navigation based on fuzzy logic and optical flow approaches," 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. 10(6), pages 1654-1667, December.
    • Handle: RePEc:spr:ijsaem:v:10:y:2019:i:6:d:10.1007_s13198-019-00918-2
    DOI: 10.1007/s13198-019-00918-2
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    Cited by:

    1. Abdelmalek Ouannou & Adil Brouri & Laila Kadi & Hafid Oubouaddi, 2022. "Identification of switched reluctance machine using fuzzy model," 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. 13(6), pages 2833-2846, December.

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