Lucas Utke

Papers

Total Citations

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About

Lucas Utke is a researcher at the forefront of integrating artificial intelligence with nondestructive evaluation (NDE) and robotics for structural health monitoring. His primary research areas include AI-enabled robotic inspection, autonomous damage assessment, and intelligent repair systems for critical industrial infrastructure. Utke’s major contribution lies in developing a pioneering concept and prototype of a mobile robotic platform that combines NDE capabilities with AI-driven autonomy, enabling live, self-directed inspection and repair in hazardous environments. His most cited work, "AI-Enabled Robotic NDE for Structural Damage Assessment and Repair" (2021), has garnered 6 citations and addresses a pressing need in industries such as power plant boiler maintenance, where manual inspection is dangerous and inefficient. By bridging robotics, machine learning, and NDE, Utke’s research advances the safety and reliability of aging infrastructure. His work is notable for its practical, application-oriented approach, demonstrating how intelligent systems can perform real-time structural evaluation without human intervention. For students and researchers, Utke exemplifies the impactful convergence of AI and field robotics, offering a compelling vision for the future of autonomous industrial maintenance.