Path planning of escort robot based on improved ant colony algorithm

Abstract

With artificial intelligence and economic development entering the "fast lane" stage, the construction of tourist attractions is more intelligent and unmanned. Aiming at the problems of path planning of unescorted robots in tourist attractions, long calculation time of traditional ant colony algorithm and many turns, a path planning method for unescorted robots based on improved ant colony algorithm is proposed. Firstly, the driving rules of the escort robot in the scenic area are proposed, and the ant colony algorithm is applied to the path planning problem of the unmanned escort robot. Combined with the characteristics of the ant colony algorithm, the secondary planning of the first planned path and the method of the secondary planning are proposed. Perform secondary pheromone update on the shortest path to optimize the problem of unreasonable turning points in the traditional ant colony algorithm planning path; use the grid method to build a simulated environment model, and initialize the information of the improved ant colony algorithm according to the algorithm flow of the improved ant colony algorithm, set the start and end points of the escort robot, send the ants to iterate and output the improved planning route, and conduct simulation experiments on Matlab. The simulation results show that compared with the traditional ant colony algorithm, the number of iterations of the improved algorithm planning is significantly reduced, and the path unreasonable turning points are less, which verifies the efficiency and superiority of the improved algorithm.