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About

Andreas Wieser is a versatile researcher whose work spans geodesy, geospatial sensing, and intelligent robotic systems, with particular expertise in precision measurement, deformation monitoring, and 3D scene understanding. His contributions have meaningfully advanced how engineers and scientists capture, interpret, and act upon spatial data in both natural and built environments. Among his most impactful contributions is his work on dynamic 3D scene analysis through point cloud accumulation (2022, 39 citations), which bridges robotics and geospatial intelligence. His foundational research on infrared local positioning systems using phase differences (2014, 23 citations) demonstrated innovative approaches to indoor localization. Wieser has also pushed the frontiers of geotechnical monitoring, developing robotic total station (RTS) methods for detecting subtle deformations in alpine environments, including glacial and paraglacial zones in the Swiss Alps — work critical to understanding climate-driven landscape change. More recently, Wieser has translated precision sensing into construction robotics, pioneering depth-camera-based rebar detection and geometric feedback systems for robotic concrete spraying. His 2024 work on robotic bridge modal analysis further reflects his commitment to infrastructure health monitoring. Across disciplines, Wieser consistently demonstrates that rigorous measurement science, when creatively applied, can redefine what automated systems are capable of achieving.