Patricio Guerrero

KU Leuven

Papers

2

Total Citations

15

H-Index

2

About

Patricio Guerrero is a leading researcher in the field of industrial X-ray computed tomography (CT), with a particular focus on robotic CT systems and advanced geometric calibration. His work addresses a critical challenge in non-destructive testing: enabling flexible, non-circular scanning trajectories while maintaining high reconstruction quality. Guerrero’s major contributions include developing a reference-free method for estimating robot CT imaging geometry, which eliminates the need for traditional calibration phantoms and allows for adaptive, on-the-fly calibration. His 2022 paper on this method has garnered 8 citations, while his related work on geometric qualification for robot CT with flexible trajectories (7 citations) provides a foundational framework for quantifying and correcting geometric errors in these systems. By solving the calibration problem for non-standard paths—where conventional methods fail—Guerrero’s research directly enables more versatile and accurate CT inspections for complex industrial parts. His achievements represent a significant step toward making robotic CT a practical, high-precision tool for manufacturing and quality control, opening new possibilities for in-situ and custom-trajectory scanning.

Research Focus

Key Achievements

2
H-Index
2
Papers
15
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Reference free method for robot CT imaging geometry estimation
8 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: KU Leuven

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago