基于改进九点标定的机器人投板方法

Robot board throwing algorithm based on improved nine point calibration

  • 摘要: 针对目前投板工站抓取定位存在的误差大速度慢的问题,以六轴机械手臂为研究平台,提出一种基于改进的九点标定的机器人投板方法。并在相机采集照片后利用数学形态学边缘检测方法对产品进行识别,机械手臂基于此可以自动进行微调。并且采用非线性优化算法同步标定机座坐标及相机末端坐标。实验结果表明,该方法重复定位精度高,可以精准快速地定位识别抓取。

     

    Abstract: Aiming at the problem of large errors and slow speeds in grasping and positioning of the board throwing station, a method of robot throwing board based on improved nine point calibration is proposed based on the six axis manipulator as the research platform.The mathematical morphology edge detection method is used to identify the product after the camera collects the photos, and the manipulator can automatically fine tune based on it. And the nonlinear optimization algorithm is used to calibrate the frame coordinates and camera end coordinates simultaneously.The experimental results show that the proposed method has high repetition positioning accuracy and can accurately and quickly locate, identify and grasp.

     

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