Eider Aldalur

Tecnalia

Papers

4

Total Citations

20

H-Index

4

About

Eider Aldalur is an emerging researcher specializing in intelligent automation systems for industrial welding processes, with a particular focus on robotic welding, computer vision, and adaptive trajectory planning. Their work addresses one of manufacturing's most pressing challenges: transitioning complex, skill-dependent welding operations from human execution to reliable automated systems. Aldalur's most significant contributions center on developing intelligent methodologies for automatic weld joint reconstruction, classification, and trajectory determination. Their research on multipass welding automation in geometrically complex configurations — including Butt Double V-Groove, Tee Double Bevel, and T-shaped joints — demonstrates a sophisticated integration of laser sensing, industrial robotics, and machine learning to handle real-world weld variability. A notable thread running through their work is the exploitation of weld joint symmetry to simplify and optimize robotic path planning, an elegant approach that improves both efficiency and consistency. With publications accumulating citations across 2023–2024, Aldalur's research is gaining traction within the manufacturing automation community. Their body of work collectively contributes to reducing human intervention in hazardous welding environments while increasing production efficiency and weld quality — goals with significant industrial and safety implications. Researchers working in smart manufacturing, Industry 4.0, or robotic process automation will find Aldalur's methodologies both practically relevant and technically innovative.

Research Focus

Key Achievements

4
H-Index
4
Papers
20
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Advanced welding automation: Intelligent systems for multipass welding in Butt Double V-Groove and Tee Double Bevel configurations
6 citations · 2024
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Tecnalia

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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