Optimizing the Working Environment of Auto-routing and Obstacle-avoiding Robot Based on Simulink

Abstract

Automatic sweeping robots gradually come into people's life. These robots can automatically find the way forward and complete the sweeping task at the same time. It is found that the floor sweeping robot will get stuck in a corner or cannot get out when it enters a blind angle. The main purpose of this work is to improve the action mode of the robot and its working environment. Using Simulink in MATLAB as the main body of the simulation, an environment is built to simulate the work of the auto-routing robot. Through randomly generated different mazes, the working status of the robot in different environments is simulated, the probability of Karton between the improved environment and the robot is compared, and the main factors affecting the robot's abnormal operation are analyzed. When the robot is able to move with a smaller turning radius and length of motion, a smoother and more stable gait track can be presented with a shorter path if the maze track has enough width and the wall is thick. By controlling these factors, people can directly and accurately optimize the working environment of the robot. This is one of the key operations to improve the working environment of this kind of self-seeking and obstacle-avoiding robot and to give them a suitable working environment.