摘要
针对机器人在未知环境下导航和捕获目标问题,设计了一种基于SLAM技术的探索机器人,并提出一种融合机器视觉与SLAM算法的导航方法。机器人由主控模块、底层驱动模块、摄像头、激光雷达和机械臂构成。通过在安装有开源机器人操作系统(ROS)的机器人上进行实验。实验结果表明,通过上述方法能够构建可靠有效的地图并规划出合理的移动路线,完成目标物体的定位和捕获。
Aiming at the problem that the robot navigates and captures the target in an unknown environment,a robot based on SLAM technology was designed and a navigation method combining machine vision and SLAM algorithm was proposed.The robot consists of a main control module,an underlying drive module,a camera,a laser radar and a robotic arm.Experiments were performed on a robot with an open source robotic operating system(ROS)installed.The experimental results show that:Through the above method,a reliable and effective map can be constructed and a reasonable moving route can be planned to complete the positioning and capturing of the target object.
作者
王嵘
万永菁
WANG Rong;WAN Yongjing(School of Information Science and Engineering,East China University of Science and Technology,Shanghai 200237,China)
出处
《机械与电子》
2019年第9期51-53,58,共4页
Machinery & Electronics
基金
国家自然科学基金资助项目(61872143)
2018年教育部产学合作协同育人项目(201801315013)
2018年华东理工大学本科实验实践教学改革与建设项目(2018)