Papers

5

Total Citations

42

H-Index

4

About

David Curiel is an emerging researcher specializing in robotic welding automation, intelligent manufacturing systems, and advanced inspection techniques for metallic materials. His work sits at the intersection of industrial robotics, computer vision, and adaptive control systems, with a particular focus on automating complex welding operations that have traditionally demanded skilled human intervention. Curiel's most influential contribution, "Advances in Robotic Welding for Metallic Materials" (2023), has garnered 22 citations and provides a comprehensive survey of inspection, modeling, monitoring, and automation techniques applicable across heavy industries including aerospace, automotive, and shipbuilding. Building on this foundation, his subsequent research has introduced intelligent methodologies for automatic trajectory determination in multipass welding configurations—including challenging Butt Double V-Groove, Tee Double Bevel, and T-shaped joints—using laser-based reconstruction and classification approaches. A consistent theme across his publications is the development of adaptive systems capable of reconstructing weld joint geometry and autonomously planning welding paths, significantly reducing reliance on manual programming. With a growing body of work accumulating over 40 citations in just two years, Curiel is establishing himself as a promising voice in intelligent welding automation, offering practical solutions that enhance efficiency, precision, and repeatability in modern industrial manufacturing environments.

Research Focus

Key Achievements

4
H-Index
5
Papers
42
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Advances in Robotic Welding for Metallic Materials: Application of Inspection, Modeling, Monitoring and Automation Techniques
22 citations · 2023
📈 Most Prolific Year: 2023 (4 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Universidad Publica de Navarra

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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