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In order to realize the autonomous operation of underwater drones in waters, it is necessary to design a reasonable path planning scheme for them. The ant colony algorithm has very good effects on the path planning of underwater drones, and has good robustness, but the traditional ant colony algorithm is prone to the problem of local optimal solution when solving the path planning problem. Based on the traditional ant colony genetic algorithm theory, it is improved by adding target guides, constructing an elite ant system, and updating the pheromone concentration. The grid method is used to build an underwater environment analysis model. The purpose is to plan a collision-free safety path from the initial state to the target state and use simulation to carry out verification. The results show that compared with traditional algorithms, the improved algorithm has greater advantages in solving speed and global solving ability.