The invention discloses an AGV (automated guided vehicle) real-time path planning method based on modified quantum ant colony algorithm, comprising the sequential steps of S1, initializing environmental and algorithm parameters; S2, receiving an AGV path planning task; S3, constructing AGV path solutions; S4, evaluating a current solution, and recording an optimal solution; S5, using a quantum rotation gate; S6, allowing quantum mutation; S7, updating pheromone; S8 judging after computing is ended, and providing in time an AGV path that meets the comprehensive requirements, such as global search, computing time, iteration early quick convergence, and iteration late solution diversity. Manpower and time costs are saved, goods transport efficiency is improved, and production efficiency can be improved.