Path planning of robot autonomous navigation based on RRT algorithm

Abstract

In order to realize the efficient autonomous navigation of robots in the complex and changeable environment, this study pays special attention to the path planning technology based on fast random search tree (RRT) algorithm. In this paper, the basic principle of RRT algorithm is analyzed in detail, and then the improvement strategy of RRT algorithm is discussed in depth, in order to further improve the efficiency and reliability of path planning. Through a series of comparative experiments, the effectiveness of the proposed improved strategy is verified. These experimental results significantly show that the improved strategy can greatly improve the path planning efficiency and obstacle avoidance ability of robots in the process of autonomous navigation. This study provides a strong support and an important theoretical basis for the further development of robot autonomous navigation technology.