基于改进Astar算法的AGV路径规划

AGV Path Planning Based on Improved Astar Algorithm

随着自动导引运输车(Automated Guided Vehicle,AGV)被广泛应用,有关自动导引车的问题应运而生,近年来成为了众多国内外学者研究的热点。本文研究了基于栅格环境下的AGV路径规划问题。先基于栅格法对地图进行建模,再在栅格地图环境中提出改进的Astar算法,可为AGV规划一条全局最优路径。

With the widespread application of Automated Guided Vehicles(AGV),issues related to AGV have also emerged,and have become a hot research topic for many domestic and foreign scholars in recent years.The research problem in this paper is the AGV path planning problem based on the grid environment.First,the map is modeled based on the grid method.Secondly,an improved Astar algorithm is proposed in the grid map environment to plan a global optimal path for the AGV.