The new fusion algorithm in robot path planning application

Robot path planning is an important research topic in robotics field. The paper proposes an algorithm based on the combination of Ant Colony Optimization(ACO) and Particle Swarm Optimization(PSO) for path planning. The new algorithm combines the advantages of ACO and PSO effectively and generates the distribution of the initial information for ACO by using the merits of high efficiency and concision of PSO, and then uses the advantages of parallelizablity, positive feedback and solution with high accuracy of ACO to get global optimum solution. The simution. result demonstrates the effectiveness and feasibility of the proposed algorithm.