Research on the Intelligent Optimization of the Pathway of Multiple AGVs in the Inter-Vehicle Environment
With the rapid development of industrial technology in China,the automated guided vehicle(AGV)is receiving increasing attention in terms of autonomy and cost saving.This article proposes an intelligent optimization algorithm that integrates the improved A* algorithm and DWA(dynamic window approach)for the path planning problem of multiple AGVs in the complex and variable inter-vehicle environment.Firstly,this article uses the A* al-gorithm to plan the global path from the starting point to the endpoint,and then,for the shortcoming of the mul-tiple redundancy of the A* algorithm,proposes a method for extracting key points to eliminate the redundant nodes and inflection points of the global path,which ensures the improvement of the global path.Secondly,by segment-ing the global path,it sets a series of local target points,and uses the DWA to dynamically avoid newly-added and moving obstacles while continuously reaching the local target points,so as to obtain the optimal path for multiple AGVs from the starting point to the target point,and ultimately achieve the improvement of the path length and safety of multiple AGVs.
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