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

Huifang Wang ()
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Huifang Wang: Hebei Chemical and Pharmaceutical College

International Journal of System Assurance Engineering and Management, 2023, vol. 14, issue 2, No 29, 786-795

Abstract: 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.

Keywords: Kalman filter; Autonomous movement; Robot; Visual navigation; Fuzzy control (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s13198-021-01570-5

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