Research on intelligent robot decision algorithm of avoiding obstacle based on simulation

The environment in which the intelligent robot is dynamic in real time. The robot needs to respond to the surrounding obstacles in time to ensure that the robot can drive smoothly in an environment full of obstacles. This requires the robot to be intelligent enough to make decisions with different challenges. Obstacles in different directions and postures can be quickly identified and avoiding actions can be made smoothly. To solve this problem, this paper proposes an obstacle maze intelligent robot dynamic recognition and decision avoidance algorithm based on simulink simulation. By establishing a robot driving model, equipped with a radar sensor model, it has the ability to recognize obstacles, and uses the Stateflow tool to edit the robot obstacles. The object avoidance decision-making algorithm enables it to deal with obstacle avoidance in a variety of postures, and to explore the path out of the maze on its own. In order to verify the effectiveness of the model and algorithm, a maze of obstacle walls was built and the intelligent robot was simulated and tested. Through testing, the decision-making algorithm not only ensures the safety of the robot, but also achieves smooth obstacle avoidance and smoothly drove out of the obstacle wall maze.