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About

Gordon Dobie is a leading researcher at the intersection of robotics, non-destructive evaluation (NDE), and industrial inspection, with work spanning ultrasonic sensing, autonomous systems, and advanced manufacturing. His research addresses critical challenges in infrastructure safety and industrial efficiency, particularly within the oil and gas sector, where his 2019 review of inspection robotics (105 citations) has become an essential reference for engineers and researchers navigating the growing demand for automated, safer inspection solutions. Dobie's contributions to ultrasonic technology are especially notable. His foundational work on airborne ultrasonic ranging techniques (103 citations) and non-contact ultrasonic platforms has helped establish practical frameworks for structural inspection in environments where conventional methods are impractical. His development of miniaturised EMATs, coverage path planning algorithms, and vision-guided robotic systems further demonstrates a consistent drive to translate sensing science into deployable industrial tools. More recently, Dobie has embraced machine learning to enhance phased array ultrasonic testing of carbon fibre composites — a rapidly expanding frontier in aerospace NDE. With cumulative citations exceeding 500 across his most influential works, his research meaningfully bridges fundamental measurement science and real-world robotic deployment, making him an influential figure for students and practitioners in smart manufacturing and structural health monitoring alike.