Nguyen Duy Minh Phan

Université Paris-Sud, Université Paris-Saclay

Papers

Total Citations

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About

Nguyen Duy Minh Phan is a researcher specializing in automated industrial inspection, robotics, and metrology, with a particular focus on developing intelligent scanning strategies for quality control in manufacturing environments. His work centers on the integration of laser-plane sensors with industrial robots to enable precise, efficient three-dimensional inspection of manufactured parts. Phan's most significant contributions lie in the domain of scanner path planning, where he has pioneered approaches that optimize scan coverage while controlling the overlap between successive scanning paths. A hallmark of his methodology is the innovative application of least-squares conformal mapping, a technique that mathematically unfolds complex 3D surfaces onto a planar domain, enabling more systematic and computationally tractable path generation. This approach bridges differential geometry and practical robotics engineering in a novel way. His 2018 paper on scanner path planning with overlap control has garnered 34 citations, establishing it as a foundational reference in robotic inspection literature. Subsequent work on optimal scanning strategies for on-machine inspection further extended these principles, accumulating 19 additional citations. Collectively, Phan's research has meaningfully advanced the automation of dimensional inspection, reducing reliance on manual measurement while improving repeatability and coverage reliability in industrial quality assurance workflows.