Valens Frangez

ETH Zurich, Institute of Geodesy and Cartography

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Total Citations

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About

Valens Frangez is a leading researcher at the intersection of construction robotics and computer vision, whose work is redefining how autonomous systems interact with complex building environments. His primary research areas include robotic concrete spraying, depth-sensing for construction, and automated geometric feedback systems. Frangez’s major contribution lies in developing sensor-driven methods that allow robots to perceive, evaluate, and adapt to their surroundings in real time—a critical step toward replacing manual, labor-intensive construction tasks. His most cited work, "Depth-camera-based rebar detection and digital reconstruction for robotic concrete spraying" (13 citations), introduces a novel approach for using industrial depth cameras to detect and digitally reconstruct steel rebar meshes, enabling precise robotic material application on double-curved surfaces. He further advanced this field with his "Geometric Feedback System for Robotic Spraying" (5 citations), which integrates depth cameras into an automated inspection loop, and his feasibility study on surface geometry evaluation and material classification (5 citations), which leverages point clouds and intensity data from time-of-flight cameras. With a total of 23 citations across his top papers, Frangez is establishing himself as a key innovator in smart construction, pushing the boundaries of what robots can achieve on the job site.