Research on robot path optimization based on artificial intelligence algorithm

With the development of science and technology, intelligent robots are widely used in navigation, exploration and medical fields. At the same time, the development of artificial intelligence algorithm is also gradually mature, and gradually applied in various fields. Specifically, ant colony algorithm is widely used in the field of path planning because it has global search capability and high robustness. However, the ant cluster algorithm has a problem that the convergence speed is slow and locally decreases. In order to solve the lack of colonial algorithms and the problem of path planning problems, we upgraded the ancient colony algorithm, compared the results of different algorithms using simulation software, and compared the path planning parameters, and tested the effectiveness of the colony algorithm.