Application of multiple automated guided vehicle path planning algorithm in IoT smart warehouse system
Fangxin Yu, Lei Yang · 2022
In order to avoid the occurrence of Automated Guided Vehicle (AGV) collisions in the intelligent warehouse system and improve the cooperative efficiency of multiple AGVs in the intelligent warehouse system, an improved A* path planning algorithm is proposed considering the possible occurrence of collisions in the intersection of multiple AGVs. This article improves the traditional A* algorithm, dynamic mechanism and conflict resolution strategy are introduced, and the path and mode of AGV are optimized to improve operation efficiency. The experimental results show that the improved A* path planning algorithm can effectively resolve conflicts and shorten operation time.