【摘要】 近年来，中国制造业持续快速发展，越来越多的企业选择无人搬运车(automated guided vehicle, AGV)作为智能物流系统的核心设备。为保证仓储运行效率，解决AGV间运输路径冲突的问题越发得到学者们的关注。从两个角度对仓库多AGV路径冲突问题进行文献综述。首先，从冲突类型的角度，将研究问题分为碰撞问题和死锁问题，分析不同冲突类型下多AGV防碰撞策略的研究现状。其次，从模型求解算法的角度，将其分为启发式算法和强化学习算法，分析近年来两者在仓库多AGV路径冲突问题中的应用；最后，对现有文献进行总结，并提出未来仓库多AGV路径冲突问题的发展方向。更多还原

【Abstract】 In recent years, rapid development has been continuously observed in China’s manufacturing industry, where AGVs automated guided vehicles have been increasingly adopted by enterprises as core equipment in intelligent logistics systems. To ensure the efficiency of warehouse operations, addressing the issue of transportation path conflicts among AGVs has garnered growing attention from researchers. A literature review on the issue of multi-AGV path conflicts in warehouses was conducted from two perspectives. First, from the perspective of conflict types, the research problems were categorized into collision problems and deadlock problems, and the current state of research on multi-AGV collision avoidance strategies under different conflict types was analyzed. Second, from the perspective of model-solving algorithms, the study divides the approaches into heuristic algorithms and reinforcement learning algorithms, analyzing their application in multi-AGV path conflict issues in warehouses in recent years. Finally, the existing literature was summarized, and future directions for addressing multi-AGV path conflicts in warehouses were proposed.更多还原