Research on Obstacle Avoidance Control of Intelligent Robots Based on Multi-Sensor Fusion

Abstract

When the obstacle avoidance control of an intelligent robot only uses a single sensor, there will be many limitations. Using multi-sensor fusion for obstacle avoidance control can combine the characteristics of different sensors to enhance the robot’s obstacle avoidance capabilities. This article analyzes the characteristics of ultrasonic sensors, LiDAR, visual sensors, and infrared sensors, showcasing the development of multi-sensor fusion through existing robot applications based on multi-sensor fusion. It demonstrates the impact of control systems combining data from multiple different types of sensors and fusing them through fusion algorithms. This improves the accuracy of robots in obtaining obstacle information and avoiding obstacles in different environments, as well as their ability to perceive the environment; This study examines the different levels of multi-sensor fusion. Through various robot applications, it highlights the strong perception ability and excellent environmental adaptability of multi-sensor fusion robots, emphasizing the importance of multi-sensor fusion in the field of obstacle avoidance control for the development and application of intelligent robots.