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About

Herman Augusto Lepikson is a pioneering researcher whose work sits at the intersection of robotics, autonomous systems, and industrial inspection. His research has profoundly shaped how complex, hazardous environments are monitored and maintained, with particular focus on subsea oil and gas infrastructure and critical energy installations. Lepikson's most influential contribution, "Multiobjective Coverage Path Planning" (2017, 57 citations), established foundational methodologies for enabling robots to autonomously inspect intricate real-world structures — a breakthrough that continues to resonate across robotics and industrial automation communities. His work on the FlatFish Resident AUV further cemented his reputation, demonstrating how autonomous underwater vehicles can transform deepwater oil and gas operations during the challenging energy transition era. Beyond underwater robotics, Lepikson has expanded his impact into non-destructive testing, developing sophisticated classifier fusion techniques for defect detection on submerged structures, and pioneered autonomous inspection systems for electrical substations and cable galleries — environments too dangerous for routine human access. His cumulative body of work reflects a consistent mission: replacing human risk with intelligent robotic systems across demanding industrial settings. With growing citation counts across nearly a decade of research, Lepikson stands as a significant contributor to applied robotics and industrial autonomy globally.