AGV vehicles play a very important role in the intelligent manufacturing industry and are a key part of the modern intelligent warehousing logistics system. In the entire warehouse automatic guidance system, AGV vehicles are important execution units for material transportation and assembly. In the face of the instability of traditional path planning algorithms and path non-optimality, based on the AGV vehicle kinematics model, The initial path planning algorithm Dijkstra plans an initial path, feedback correction of errors，then uses the ant colony algorithm to plan the optimal path. Finally, the algorithm model is built on the MATLAB/Simulink simulation platform. The simulation results show that the algorithm has excellent decoupling performance of optimal path information.