Optimal Path Allocation of Robot Based on Modern Logistics Warehouse

P. Li, Jiachen Zhao
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Abstract

The problem of optimization of warehouse operations is a problem that arises with the expansion of warehouse size. For modern warehouse operations, the circulation of modern logistics forms is large, and the emergence of problems such as large number, variety, classification and miscellaneous products leads to the expansion of warehouse scale to meet demand. The high efficiency and low cost of large-scale warehouses have become one of the primary goals of warehouse operations. In the intelligent process of modern logistics, the use of intelligent robots to replace the traditional warehouse workers for picking operations will greatly save warehouse costs and improve warehouse operation efficiency. Factors affecting the efficiency of the picking robot In addition to the travel speed of the robot itself, the choice of path will greatly affect the overall efficiency, and the path planning algorithm of the intelligent warehouse robot is introduced here.
基于现代物流仓库的机器人路径优化配置
仓库操作的优化问题是随着仓库规模的扩大而出现的问题。对于现代仓储作业来说,现代物流形式的流通量大,产品数量多、品种多、分类多、杂等问题的出现,导致仓储规模扩大以满足需求。大型仓库的高效率和低成本已成为仓库作业的首要目标之一。在现代物流的智能化过程中,利用智能机器人代替传统的仓库工人进行拣货作业,将大大节省仓库成本,提高仓库作业效率。影响拣货机器人效率的因素除了机器人自身的行走速度外,路径的选择也会对整体效率产生很大的影响,这里介绍智能仓库机器人的路径规划算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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