The invention discloses a robot path planning fusion algorithm based on ant colony particle swarm optimization in the field of artificial intelligence. The robot path planning fusion algorithm based on the ant colony particle swarm optimization has the specific steps of S1, initial setting: initializing grid point pheromones, taking the top at the left end of a grid as an initial origin, a horizontal direction as an x-axis and a longitudinal direction as a y-axis, and placing ant colony particles on the initial origin of the grid, with each particle having a unique number and each grid point having a sensing point which is adapted to a sensing end on the particle; and S2, destination and obstacle setting: setting a destination as needed and distributing obstacles on the grid points, the obstacles being randomly distributed. The robot path planning fusion algorithm based on the ant colony particle swarm optimization can be used for easily finding out the optimal path, reducing the search time and increasing the portability of use.