Abstract:With the vigorous development of the logistics industry, the development of smart warehousing logistics can greatly reduce logistics costs and accelerate the development of the industry. This study proposes an AGV vehicle system collision avoidance path planning in smart storage. First, the grid method with time windows is used to simulate the working environment of the AGV’s manufacturing workshop, and an improved ant colony algorithm is proposed. By improving the probability conversion formula and the pheromone update rule, the simulation results verify that the algorithm can solve the obstacle avoidance path planning problem of multiple AGVs, and then realize the intelligent warehouse logistics.