移动机器人的避障行为及导航控制

摘要

本文研究了移动机器人基于红外、超声和视觉的导航控制问题。介绍了机器人基于红外和超声传感器避障的原理，提出了机器人二值化解析视频图像提取出目标点的导航控制算法。实验结果表明，该综合红外、超声和视觉的导航控制方式在复杂的动态外界环境中具有较好的效果。%　　Mobile root navigation control based on infrared, ultrasonic and visual is researched in this paper. This article first introduces the working principle of the robot’s infrared and ultrasonic sensors, then presents a navigation control algorithm that extracts the target position after video image binarization Experimental results show that this navigation control combining infrared, ultrasonic sensor and visual recognition has satisfying performance in complex dynamic environment.