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In order to ensure that the robot"s travel path can cover all the coordinate points of the map in all directions and reduce the path repetition rate, an intelligent robot"s full coverage path planning method is designed based on the fish swarm algorithm. Establish the intelligent robot"s dead zone extrication model, calculate the target activity value in the grid map model, obtain the overall grid number, describe the grid state in the map, and obtain the driving angle difference during extrication. Based on the fish swarm algorithm, a full path coverage determination method is designed to describe the distance between different target fish individuals. Under the triple moving target coordinate system, the element coordinate vector is obtained, the solution cost sum of each target point is established, and the minimum distance traveled by the next target point is calculated. Design robot full coverage path planning algorithm, judge whether the current position is dead zone, obtain the global optimal solution of path planning, and realize the full coverage path planning of intelligent robot. Complete the full coverage path planning experiment of intelligent robot with Matlab simulation software. The results show that in a simple environment, the coverage rate of this path planning method is 100%, the repetition rate is 5.23%, and the path length is 15.36m; in a complex environment, the coverage rate of this path planning method is 100%, the repetition rate is 10.24%, and the path length is 20.34m. This proves that this method has good planning effect.