Abstract:In order to solve the problem that the traditional algorithm is easy to produce premature and poor security in the path planning of mobile robots, a quantum winddriven optimization algorithm is proposed. The algorithm was combined of quantum calculations with winddriven algorithms, and quantum behaviors were used to solve optimization problems based on winddriven algorithms to improve the safety of robot motion paths. Finally, experimental simulation analysis results show that compared with ant colony algorithm and immune genetic algorithm, this algorithm reduces the robots unnecessary turning in the movement, shortens the path length, improves the security, and can quickly find the optimal path.