Papers
49
Total Citations
1,060
H-Index
19
About
Carmelo Mineo is a leading researcher at the intersection of robotics, non-destructive testing (NDE), and advanced manufacturing inspection, with particular expertise in automated ultrasonic evaluation, robotic path planning, and structural health monitoring. His most celebrated contribution — a custom MATLAB toolbox for robotic NDT path planning (2015, 107 citations) — revolutionized how complex curved aerospace components are inspected using six-axis robotic manipulators, dramatically improving inspection speed and accuracy. Alongside this, his phased array ultrasonic work on Wire + Arc Additive Manufactured samples (78 citations) and his novel mesh-following technique for approximation-free robotic trajectories (34 citations) demonstrate a consistent drive to push automated inspection into challenging manufacturing frontiers. Mineo has also advanced the integration of machine learning with NDE and structural health monitoring (58 citations), bridging the gap between data-driven diagnostics and real-world inspection systems. His contributions to in-process weld inspection and vision-guided robotic evaluation further underscore his commitment to enabling smart, closed-loop manufacturing. With over 500 cumulative citations across his most prominent works, Mineo's research has meaningfully shaped modern industrial inspection practice and continues to influence both aerospace and remanufacturing sectors globally.
Research Focus
Key Achievements
Top Papers
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- 3Off-line scan path planning for robotic NDT60 citations · 2018
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