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Positioning of logistics and warehousing automated guided vehicle based on improved LSTM network

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  • Tingting Yan

    (Wuhan Huaxia University of Technology)

Abstract

In order to improve the positioning effect of logistics and warehousing AGV, this paper improves the traditional LSTM algorithm, proposes an intelligent network algorithm that can be applied to the positioning and navigation of automatic guided vehicles, and constructs a positioning system for logistics and warehousing AGV based on the improved LSTM algorithm. Moreover, this paper analyzes the system function structure and system algorithm flow in combination with the actual needs of warehousing logistics, analyzes the system realization process, and analyzes its key technologies. In addition, after constructing the basic framework and functional modules of the system, this paper conducts system performance test analysis and statistical research results. From the test results, it can be seen that the logistics and warehousing AGV based on the improved LSTM network constructed in this paper has good positioning and navigation functions, which meets the expectations of the construction system.

Suggested Citation

  • Tingting Yan, 2023. "Positioning of logistics and warehousing automated guided vehicle based on improved LSTM network," 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 509-518, April.
    • Handle: RePEc:spr:ijsaem:v:14:y:2023:i:2:d:10.1007_s13198-021-01243-3
    DOI: 10.1007/s13198-021-01243-3
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