R. Guillamet
Papers
1
Total Citations
3
H-Index
1
About
R. Guillamet is a researcher whose work sits at the intersection of X-ray non-destructive testing (NDT) and advanced robotics. Their primary focus is on developing novel computed tomography (CT) reconstruction techniques for robotic inspection, a field that is transforming industrial quality control by enabling greater flexibility in acquisition trajectories. Guillamet’s key contribution lies in addressing the challenges of limited-angle CT, where traditional reconstruction algorithms fail due to incomplete data. By designing iterative reconstruction methods tailored for robotic arms, they have made it possible to adapt scanning paths to complex object geometries and environmental constraints—a critical step for in-situ inspection of large or irregularly shaped components. Their most cited work, "Iterative CT reconstruction on limited angle trajectories applied to robotic inspection" (2017), has garnered 3 citations, reflecting its foundational role in this niche but rapidly growing area. This research bridges the gap between robotics and imaging physics, offering practical solutions for industries like aerospace and manufacturing. Guillamet’s work is notable for its direct application to real-world NDT challenges, positioning them as a key contributor to the next generation of flexible, automated inspection systems.
Research Focus
Key Achievements
Top Papers
- 1