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

Tingting Yan ()
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Tingting Yan: Wuhan Huaxia University of Technology

International Journal of System Assurance Engineering and Management, 2023, vol. 14, issue 2, No 2, 509-518

Abstract: 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.

Keywords: LSTM network; Logistics warehousing; Automatic guided vehicle; Positioning analysis (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s13198-021-01243-3

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