Matthias Alfeld

Delft University of Technology

Papers

2

Total Citations

8

H-Index

2

About

Matthias Alfeld is a leading figure in the application of robotic systems to cultural heritage science, specializing in the non-destructive analysis of priceless artworks. His core research bridges mechanical engineering and analytical chemistry, focusing on the development of novel scanning platforms for techniques like macroscopic X-ray fluorescence imaging (MA-XRF). Alfeld’s major contribution lies in reimagining conventional scanning methods; he pioneered the use of cable-driven parallel robots as flexible, lightweight alternatives to bulky linear stages. This innovation allows for the in situ investigation of complex, non-planar surfaces—such as sculptures and ornate frames—which were previously inaccessible to automated scanning. His 2023 work on cable robots for MA-XRF (5 citations) and the 2020 design of the CaRISA robot (3 citations) demonstrate a paradigm shift from rigid, planar assumptions to adaptable, cable-based systems. By enabling high-resolution elemental mapping of cultural heritage objects without contact or damage, Alfeld’s work provides art historians and conservators with unprecedented insights into historical techniques. His achievements represent a significant step toward democratizing advanced imaging, making it portable and adaptable for museums and archaeological sites worldwide.

Research Focus

Key Achievements

2
H-Index
2
Papers
8
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Cable Robots as Conventional Linear Stage Alternatives for the Investigation of Complex-Shaped Objects via Macroscopic X-ray Fluorescence Imaging
5 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Delft University of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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