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About

Nelson Duarte Filho is a leading researcher in industrial robotics, autonomous navigation, and intelligent maintenance systems. His most impactful work centers on automating hazardous welding processes, particularly for shipbuilding. His 2017 paper on "Seam tracking and welding bead geometry analysis for autonomous welding robot" (22 citations) pioneered real-time vision-based seam tracking, significantly reducing human exposure to dangerous environments while improving weld quality. He further advanced this with an automated seam tracking system using passive monocular vision (12 citations), enabling precise linear robotic welding without expensive sensors. Beyond welding, Duarte Filho has contributed to intelligent maintenance systems, exploring how human operator and contextual factors can be rescued and integrated into predictive maintenance frameworks (8 citations). His earlier work on autonomous navigation for underground energy line inspection robots (5 citations) demonstrated robust feature extraction and navigation algorithms for monitoring critical infrastructure. With over 49 total citations across his key publications, Duarte Filho’s research bridges robotics, computer vision, and human-machine interaction, offering practical solutions for industrial automation and safety. His work continues to inspire advances in autonomous welding and intelligent system design.