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About

Dingguo Xiao is a prominent researcher specializing in robotic non-destructive testing (NDT), ultrasonic inspection systems, and automated quality control for complex curved-surface components. His work sits at the intersection of robotics, materials science, and industrial inspection, with a particular focus on advancing the precision and automation of ultrasonic testing methodologies. Xiao's most significant contributions include the development of dual-robot ultrasonic testing systems capable of inspecting semi-enclosed and geometrically complex composite workpieces — a challenge that traditional NDT approaches struggle to address. His 2019 work on dual-robot systems and tool centre point calibration (29 and 16 citations respectively) established foundational frameworks now informing modern robotic inspection pipelines. His 2023 paper on aero-engine blade inspection (23 citations) demonstrates his sustained relevance in the rapidly evolving aerospace quality assurance sector. Beyond detection, Xiao has made notable advances in trajectory planning, offline path correction, and residual stress measurement for curved surfaces, collectively enhancing both the reliability and efficiency of robotic NDT deployments. With over 140 cumulative citations across a decade of research, his contributions have meaningfully shaped how industries approach automated inspection of safety-critical, complex-geometry components — making him an essential reference for researchers working at the frontier of intelligent manufacturing and structural health monitoring.