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Research on Robot Visual Servo Control Based on Image Identification

机译:基于图像识别的机器人视觉伺服控制研究

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The research is mainly about robot system, DPS image processing system and Jacobian matrix. The robot in this study is a plenary robot with two rotary joints. It can only move in two directions, x and y. The joints are powered by Panasonic ac servo motor. The CCD camera is installed at the end of the second arm. The math model of the robot visual servo system based on image was set up here. By avoiding the transformation of three-dimension coordinate, Jacobian matrix and its inverse matrix that show the relationship between the coordinate variation and the angle variation of the joints were set up. The two matrices were also used in the visual servo based on image. DSP image processing system processes the video image of object taken by CCD camera. It first transforms the image into gray level image. Then it gets the boundary of the round object after going through the processes of image binaryzation, median filtering and boundary extraction algorithm. Barycentric coordinates will be evaluated through point Hough transformation. The outcome will be sent to master control program of the Industrial Personal Computer through serial ports and thus the visual servo circulation is formed.
机译:该研究主要涉及机器人系统,DPS图像处理系统和雅拓矩阵。该研究中的机器人是具有两个旋转接头的全体机器人。它只能在两个方向上移动,x和y。接头由松下交流伺服电机提供动力。 CCD摄像机安装在第二臂的末端。在此处设置了基于图像的机器人视觉伺服系统的数学模型。通过避免三维坐标,雅各比矩阵及其反向矩阵的转换,显示坐标变化与接头的角度变化之间的关系。两个矩阵也基于图像在视觉伺服电池中使用。 DSP图像处理系统处理CCD相机拍摄的对象的视频图像。它首先将图像转换为灰度级图像。然后通过图像Binaryzation,中值滤波和边界提取算法进行过程之后获得圆对象的边界。通过点霍夫转换评估重心坐标。结果将通过串行端口发送到工业个人计算机的主控制程序,从而形成视觉伺服循环。

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