Finn Linzer
Papers
3
Total Citations
14
H-Index
3
About
Finn Linzer is a researcher at the forefront of integrating robotics with precision manufacturing and measurement, with a primary focus on industrial robotics for timber construction and geodetic metrology. His work addresses a critical gap in subtractive manufacturing: the underutilization of an industrial robot’s full workspace for milling structural timber components. In his most cited paper (2023, 6 citations), Linzer experimentally demonstrates that varying robot arm positions significantly affects machining quality, offering a pathway to more efficient, flexible timber construction. Beyond manufacturing, he has made notable contributions to measurement science, quantifying systematic distance deviations in scanning total stations using robotic applications (2020, 5 citations)—work that enhances the accuracy of automated surveying. Most recently (2024, 3 citations), Linzer has advanced uncertainty assessment for poses derived from automatic point cloud registration in stop-and-go multi-sensor robotic systems, a key challenge for robust localization and trajectory estimation. His research bridges robotics, civil engineering, and metrology, providing practical solutions for industrial automation and high-precision 3D mapping. With a growing citation record and a clear trajectory toward impactful, applied research, Linzer is establishing himself as a key voice in the future of robotic fabrication and sensor integration.
Research Focus
Key Achievements
Top Papers
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