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About

Qingping Yang is a researcher whose work bridges precision measurement, optical sensing, and robotic non-destructive testing (NDT). His key research areas include fibre-optic sensors for 3-D position measurement, automated burr detection for automotive manufacturing, and autonomous path planning for ultrasonic inspection. Yang’s major contributions include developing a fibre-optic 3-D analog probe for coordinate-measuring machines and a robot-based burr measurement system that addressed the challenge of detecting highly variable burrs on sheet steel—a problem lacking industry standards. His theoretical model for a 3-D fibre-optic position sensor, based on light intensity distribution, demonstrated the feasibility of high-precision optical sensing. In recent work, Yang has advanced robotic NDT by applying graph theory and k-dimensional tree optimization to enable efficient, autonomous path planning for ultrasonic inspection of complex structures, reducing manual workload and enabling hazardous environment inspections. While his most-cited papers each have modest citation counts (3–5), they represent foundational steps in integrating optical and robotic technologies for industrial metrology and inspection, with his 2023 publications signaling a shift toward intelligent automation in NDT.