Donatella Cerniglia
Papers
3
Total Citations
40
H-Index
3
About
Donatella Cerniglia is a leading researcher in the field of automated non-destructive testing and robotic inspection, with a focus on enhancing quality control in industrial manufacturing. Her work centers on developing autonomous robotic systems that integrate optical and thermographic sensors for the simultaneous geometric and volumetric inspection of complex, free-form parts. Cerniglia’s major contributions include pioneering methods for autonomous 3D geometry reconstruction using robot-manipulated sensors, which enable rapid, full-field data acquisition without compromising accuracy. She has also advanced fine alignment techniques for thermographic images, allowing for precise robotic inspection of parts with intricate geometries—a critical capability for industries like aerospace and automotive. Her most cited paper, “Autonomous 3D geometry reconstruction through robot-manipulated optical sensors” (2021), has garnered 19 citations, reflecting its impact on streamlining production lines. With additional influential works on robotic sensing for simultaneous inspection, Cerniglia’s research bridges the gap between automation and high-quality defect detection, offering scalable solutions for small factories. Her achievements underscore a commitment to making versatile robotic manipulators a practical reality in modern manufacturing.
Research Focus
Key Achievements
Top Papers
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