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Vision Location Method for Key Features of the Metallurgical Machine with a Robot 3D Measurement System

机译:具有机器人3D测量系统的冶金机械关键特征的视觉定位方法

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Visually-guided installation of the long nozzle with an industrial robot is a novel technique, which is urgently needed for molten steel casting. The main problem is to automatically find the location of the outlet for the installation of the long nozzle. In order to realize the process, a robot 3D (three-dimensional) measurement system is set up. Based on the system, this paper proposes a new calibration and location approach based on the criteria spherical array composed of three criteria spheres. By creating the local coordinate system of the criteria spherical array, the objective function of the hand-eye calibration is built and solved. And then, the feature location is established. The proposed approach is efficient and reliable for the location of the metallurgical machine. In order to verify the effectiveness and reliability of this method, simulation experiments are carried out. The mean location error is 1.3491mm, which can meet the accuracy requirements.
机译:用工业机器人在视觉上引导长喷嘴的安装是一种新颖的技术,钢水铸造迫切需要这种技术。主要问题是自动找到用于安装长喷嘴的出口位置。为了实现该过程,建立了机器人3D(三维)测量系统。基于该系统,本文提出了一种基于由三个标准球组成的标准球阵列的新的校准和定位方法。通过创建标准球面阵列的局部坐标系,建立并解决了手眼校准的目标函数。然后,建立特征位置。所提出的方法对于冶金机械的定位是有效且可靠的。为了验证该方法的有效性和可靠性,进行了仿真实验。平均定位误差为1.3491mm,可以满足精度要求。

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