Efficiency Improvement of Mobile Robot Path Planning using Dingo Optimization Algorithm

Abstract

When solving the problem of path planning method for mobile robot obstacle avoidance, the newly proposed Dingo optimization algorithm (DOA) is used for path planning, and the efficiency of path planning is improved by using the advantage of the dingo optimization algorithm with few parameters and fast convergence. At the same time, the path obtained in the grid map is deredundantly processed, and the path length is optimized, which shortens the path length to a certain extent and improves the accuracy of path planning. In order to verify the superiority of the dingo optimization algorithm in solving the problem of mobile robot path planning, it is combined with the wolf pack algorithm (GWO) for path planning on the grid map, and the result shows that the dingo optimization algorithm is more prominent in robot path planning And better adaptability.