Nicolas Feihl

Papers

Total Citations

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About

Nicolas Feihl is a robotics researcher whose work focuses on the intersection of geometric sensing, automation, and construction. His primary research areas include robotic perception, sensor integration, and autonomous feedback systems for industrial applications. Feihl’s major contribution lies in developing a geometric feedback system for robotic spraying, which replaces labor-intensive manual inspection with an automated, sensor-driven alternative. By integrating depth cameras into a robotic setup, his system enables real-time geometric assessment and correction, significantly improving precision and efficiency in construction processes. His most-cited paper, "Geometric Feedback System for Robotic Spraying" (2022), has garnered 5 citations, marking an early but promising impact in the field. This work addresses a critical challenge in construction automation, reducing human error and repetitive strain while enhancing quality control. Feihl’s research is notable for its practical application, bridging the gap between advanced robotics and real-world construction needs. His achievements highlight a commitment to transforming traditional building methods through intelligent automation, making him a rising figure in robotic construction and sensor-based feedback systems.