Path Planning of Robot Based on Improved Ant Colony Algorithm in Computer Technology

Abstract

Abstract Mobile robot is a complex control system which integrates environment perception, path planning, dynamic decision making and behavior execution. After decades of development, ant colony algorithm has achieved good results in solving global optimization problems and is widely used in various fields. Although it has the ability to find the optimal solution, it has some defects: slow convergence speed and easy to fall into the local optimal solution. An improved ant colony algorithm is proposed to search through the improved it, select the path independently according to the number of pheromones, and improve by adjusting the heuristic factor function. The reason for this analysis is improved and optimized [1] .