多传感器融合下移动机器人避障技术的研究  

Research on obstacle avoidance technology of mobile robot based on multi-sensor fusion

作　　者：朱盈盈 燕怒 ZHU Yingying;YAN Nu(School of Mechanical Engineering and Automation,Wuhan Textile University,Wuhan 430200,China)

机构地区：[1]武汉纺织大学机械工程与自动化学院,湖北武汉430200

出　　处：《中国高新科技》2025年第2期30-32,共3页

摘　　要：避障技术一直是移动机器人研究的焦点与挑战。为了精确检测障碍物信息并使移动机器人采取适当的避障策略,文章通过自主设计的全向移动机器人平台,着重研究了多传感器信息融合环境障碍物感知与自身定位、基于全局导航和局部避障相结合的算法,进行了验证性实验。结果表明,该系统可显著提升避障的准确性和响应速度。Obstacle avoidance technology has always been the focus and challenge of mobile robot research.In order to accurately detect obstacle information and enable mobile robots to adopt appropriate obstacle avoidance strategies,this paper focuses on the algorithm combining multi-sensor information fusion environmental obstacle perception with self-positioning,based on global navigation and local obstacle avoidance through a self-designed omnidirectional mobile robot platform.Verification experiments were carried out,and the results showed that the system significantly improved the accuracy and response speed of obstacle avoidance.

关 键 词：移动机器人 多传感器系统 全局导航 局部避障 

分 类 号：TP242[自动化与计算机技术—检测技术与自动化装置]