Simulation and analysis of path planning algorithm for campus patrol robot based on ant colony algorithm

As a bionic optimization algorithm, ant colony algorithm searches for the optimal path by simulating the foraging behavior of ants. It has the advantages of strong global search ability and easy implementation, and can be used to solve the path planning problem of patrol robot in campus environment. This paper first constructs the MATLAB simulation model of campus patrol environment, and then designs the path planning method based on ant colony algorithm. The effectiveness and practicability of the algorithm are verified by simulation analysis. The simulation results show that the ant colony algorithm can effectively plan the optimal path for the patrol robot, improve the patrol efficiency and reduce the patrol time. This research provides an efficient and intelligent solution for campus security patrol, and has important practical value