基于A-Star算法的智能仓储AGV路径规划方法研究

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中图分类号：TP31 文献标识码：A文章编号：1672-3791（2026）02-0069-03

Research on the Method for AGV Path Planning in Intelligent Warehouses Based on A-Star Algorithm

GENG Xinglong1 WANG Xiang BAI Leqiang 2

1.Hebei Software Institute，Baoding，Hebei Province，O71Ooo China; 2.Shenyang Jianzhu University，

Shenyang，Liaoning Province，11O168 China

Abstract： In practical inteligent warehousing applications，traditional methods suffer from responsedelays and eficiency botlenecks，which constrain the efficiency of warehousing operations.To address this，this paper proposes a path planning method for Automated Guided Vehicle （AGV） in intelligent warehousing based onthe A-Star algorithm.The proposed method employs a dynamic weight adjustment mechanism and combined with real-time environmental information，and uses an evaluation function to determine the search direction，achieving globalpath optimization and significantly reducing AGV path planning time and transportation time.The results indicate that the proposed method improves the efficiency and robustness of AGV path planning

Keywords： Intelligent warehousing; A-Star algorithm; Automated guided vehicle; Path planning

在工业4.0推动的智能制造转型中，智能仓储系统GuidedVehicle，AGV）作为该系统的重要载体，其路径正面临着关键性技术升级需求。（剩余3114字）