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基於視覺定位的七軸機械臂目標抓取研究

Research on Target Grabbing of Seven-Axis Manipulator Based on Machine Vision

  • 摘要: 針對機器人結合機器視覺在面對特定物體進行抓取任務時👩🏼‍🌾👨🏼‍🌾,系統設計工作量大、可移植性差的問題🥊,提出基於機器人操作系統(ROS),結合手眼的七軸機械臂目標抓取方法,在ROS框架下利用協作機器人FRANKA PANDA結合RGBD攝像頭進行目標抓取🦙。創建了RGBD攝像頭的xacro機器人模型,利用RViz進行三維模型的可視化操作;應用MoveIt!軟件對RViz和Dazebo進行聯合仿真;將ROS獲取的圖像信息發送給OpenCV庫進行圖像處理及物體定位,然後將物體坐標信息發還給ROS進行機械臂抓取任務。結果表明🤶🏿,該方法簡單有效,以ROS為基礎設計的抓取方法可移植性強⚈,解決了面對復雜多樣的物體,機器人系統需進行大規模控製改動的問題。

     

    Abstract: Heavy workload of system design and poor portability will arise when Robots are used to grasp specific objects through machine vision. To resolve this problem, a seven-axis manipulator grabbing method was proposed using hand-eye combination based on robot operating system (ROS). Under the framework of ROS, target grabbing was carried out by using cooperative robot FRANKA PANDA combined with RGBD camera. The xacro robot model with RGBD camera was created and RViz was used to visualize the 3D model. MoveIt! was used for the joint simulation of RViz and Dazebo. The image information obtained by ROS was sent to the OpenCV library for image processing and object positioning, and then the object coordinate information was sent back to ROS for robotic arm grasping task. The experiment results show that the proposed method is simple and effective, and the gripping method designed based on ROS is highly portable, which solves the problem of large-scale control changes in robot systems, especially with complex and diverse objects.

     

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