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Photoelectric scanning-based resection method for mobile robot localization

Jiarui Lin, Zhiyuan Niu, Yongjie Ren, Linghui Yang, Zheng Wang, Patrick Keogh, Jigui Zhu

Year
2021
Citations
5

Abstract

Indoor localization is a key enabling technology for mobile robot navigation in industrial manufacturing. As a distributed metrology system based on multi-station intersection measurement, the workshop measurement positioning system (wMPS) is gaining increasing attention in mobile robot localization. In this paper, a new, to the best of our knowledge, wMPS-based resection localization method is proposed using a single onmidirectional transmitter mounted on a mobile robot with scanning photoelectric receivers distributed in the work space. Compared to the traditional method that requires multiple stationary transmitters, our new method provides higher flexibility and cost-effectiveness. The position and orientation of the mobile robot are then iteratively optimized with respect to the constraint equations. In order to obtain the optimal solution rapidly, two methods of initial value determination are presented for different numbers of effective receivers. The propagation of the localization uncertainty is also investigated using Monte-Carlo simulations. Moreover, two experiments of automated guided vehicle localization are conducted, and the results demonstrate the high accuracy of the proposed method.

Keywords

Mobile robotComputer scienceRobotMetrologyMonte Carlo localizationIntersection (aeronautics)Computer visionFlexibility (engineering)Artificial intelligencePosition (finance)

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