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

Michael Riedl, Reinhard Danzl, T. Lankmair, F. Millonig

Year
2021
Citations
3
Access
Open access

Abstract

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.

Keywords

AutomationArtificial intelligenceRoboticsRobotComputer scienceTexture (cosmology)MetrologyCertificationComputer visionField (mathematics)

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