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三维视觉引导的机器人柔性运动平台研制OA

Development of a 3D Vision-Guided Robot Flexible Motion Platform

中文摘要英文摘要

该文搭建了一套三维视觉引导的机器人柔性运动平台,开发了基于ROS 2架构的控制软件,测试了实验平台的基本功能,实现了三维视觉引导的机器人柔性运动.实验平台采用双目结构光相机与转台协同工作实现工件三维重建及点云配准,通过随机采样一致性算法识别工件点、线、面信息,根据设定任务规划机器人高精度运动路径,采用TCP/IP协议实现机器人在线运动控制.实验平台可用于机电类专业的实验教学,开展机器人三维视觉坐标系标定综合实验,也可作为三维视觉算法和机器人路径规划算法的研发平台.

A 3D vision-guided robot flexible motion platform was constructed,and control software based on the ROS 2 architecture was developed.The basic functions of the platform were tested,achieving robot flexible motion guided by 3D vision.In this platform,3D reconstruction and point cloud registration are realized through the collaboration of a binocular structured light camera and a turntable.Point,line,and surface information of the workpiece is identified using the Random Sample Consensus Algorithm.High-precision motion paths for the robot are planned according to preset tasks,and online motion control is achieved via the TCP/IP protocol.The platform can be used for experimental teaching in mechanical and electrical majors,conducting comprehensive experiments on robot 3D vision coordinate system calibration.It also serves as a research and development platform for 3D vision algorithms and robot path planning algorithms.

王郑拓;林志伟;徐冠华

浙江大学 机械工程学院,杭州 310027浙江大学 机械工程学院,杭州 310027浙江大学 机械工程学院,杭州 310027

信息技术与安全科学

三维视觉机器人柔性运动路径规划ROS 2

3D visionrobotflexible motionpath planningROS 2

《实验科学与技术》 2026 (1)

38-45,60,9

"尖兵""领雁"研发攻关计划(2023C01059).

10.12179/1672-4550.20240561

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