Two-stage Dynamic Path Planning for Multiple AGV Scheduling Systems

In order to shorten the RD period of AGV(automated guided vehicle) systems, reduce the cost of RD, find out universal scheduling strategy for different maps, and improve robustness to actual scheduling tasks and malfuct, a two-stage dynamic path planning strategy is developed. Multiple AGV scheduling systems are controlled with the two-stage control strategy, and paths are acquired by dynamic path planning. Several AGVs' paths are planned simultaneously in real time and path optimization is achieved with a heuristic algorithm in dynamic path planning. It is proved with simulation that the strategy improves flexibility of AGV systems and is a universal scheduling strategy for different maps.