The invention relates to a robot path planning method based on a multi-intelligent optimization parallel algorithm, and belongs to the technical field of robots. The method comprises the following steps: S1, realizing path planning of the mobile robot by utilizing the global search capability of a particle swarm optimization algorithm; S2, using a particle swarm optimization algorithm as a trunk, embedding selection, crossover and mutation operators in a genetic algorithm (GA) and chemotactic operation in a bacterial foraging algorithm (BFO) to enhance local search capability; S3, optimizing the path by using a parallel strategy, and improving the path planning efficiency of the robot; and S4, designing a grid environment map for evaluating the superiority of the algorithm. In a complex multi-obstacle environment, compared with other algorithms, the multi-intelligent optimization parallel algorithm makes up for the defects of a PSO algorithm, the local and overall search capability is greatly improved, the path planning speed is high, the path distance is short, and meanwhile higher robustness is achieved.