基于改进人工势场的AGV路径规划算法

AGV Path Planning Algorithm Based on Improved Artificial Potential Field

近年来,随着智能和无人值守消费品生产的快速发展,仓库和生产设施中的自动负荷运输模式成为在提高生产效率的同时大幅降低运行成本的实用手段,许多物流和生产过程依赖于多种自动起重系统(MURAGV)的使用。基于此,文章就基于改进人工势场的AGV路径规划算法进行了深入研究。

In recent years,with the rapid development of intelligent and unattended consumer goods production,the automatic load transportation mode in warehouses and production facilities has become a practical means to greatly reduce operation costs while improving production efficiency,and many logistics and production processes rely on the use of multiple automatic lifting systems(MURAGV).Based on this condition,this paper conducts an in-depth study on the AGV path planning algorithm based on improved artificial potential field.