Obstacle Avoidance System Design of Intelligent Sweeping Robot Based on Improved Genetic Algorithm

Abstract

There are still some deficiencies in the design of obstacle avoidance function of intelligent cleaning robot. Therefore, an obstacle avoidance system of intelligent cleaning robot based on improved genetic algorithm is designed in this paper. Through the information detected by the sensor system, the real-time obstacle avoidance path planning is carried out. The obstacle avoidance module is designed to describe the obstacle avoidance path planning under the improved genetic algorithm, the grid steering obstacle avoidance instruction design is obtained, and the software design of the system is completed. The final system test results show that compared with the obstacle avoidance system without improved genetic algorithm, the repetition rate of the obstacle avoidance system with improved genetic algorithm is relatively low, indicating that the obstacle avoidance structure of the cleaning robot covers all comers of the environment, which greatly avoids some unclean areas. The walking control error of the robot is small, and the motion control error will be greatly reduced. The design of the system is effective and feasible, and has certain application significance.