HIGH-RESOLUTION SURFACE TEXTURE MEASUREMENTS USING A COLLABORATIVE PICK-AND-PLACE ROBOT

被引:0
|
作者
Riedl, M. [1 ]
Danzl, R. [1 ]
Lankmair, T. [1 ]
Millonig, F. [1 ]
机构
[1] Alicona Imaging GmbH, Raaba, Austria
来源
MM SCIENCE JOURNAL | 2021年 / 2021卷
关键词
Inline; collaborative; automation; 3D measurement; optical metrology; 3D dataset; integration; robot; Focus Variation; Pick-and-place; surface texture;
D O I
10.17973/MMSJ.2021_11_2021177
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
The ongoing trend of robotics, automation, quality control and its combination are leading to new possibilities in the field of metrology. The improvements, especially in the handling and accuracy of collaborative robotics, are enabling new applications for automated high-resolution optical 3D measurements. This is the basis for the implementation of a pick-and-place solution for automatic surface texture measurements by replacing a high precision x-y stage with a collaborative robot. In this paper two different Focus-Variation setups are compared to evaluate the uncertainty using a certified standard and a real sample.
引用
收藏
页码:5175 / 5180
页数:6
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