Reinhard Danzl

Papers

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About

Reinhard Danzl is a researcher specializing in optical 3D metrology, industrial automation, and robotic measurement systems. His work sits at the intersection of precision surface measurement and advanced robotics, addressing a critical challenge in modern manufacturing: how to achieve high-resolution, large-area surface inspection in complex production environments. Danzl's most significant contributions center on integrating collaborative robots with optical metrology systems to extend measurement capabilities beyond single fields of view. His 2017 paper on automated 3D surface measurement in production environments, his most cited work with six citations, laid important groundwork by demonstrating that optical metrology could meet the demanding requirements of industrial surfaces — capturing surface roughness, defects, and micro-geometries on large, complex parts. Subsequent research in 2019 and 2021 refined these approaches, leveraging collaborative robotic platforms as precise manipulation systems to enable flexible, automated high-resolution texture and geometry measurements. While still an emerging body of work, Danzl's research addresses a genuinely pressing industrial need as manufacturing tolerances tighten and part complexity grows. His contributions provide practical pathways toward fully automated inline quality control, making high-resolution 3D optical inspection accessible and scalable in real production settings — a meaningful step forward for the metrology and manufacturing communities.