Hands-Free Heritage: Automated 3D Scanning for Cultural Heritage Digitization
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Abstract (arXiv)
High-fidelity 3D scanning is essential for preserving cultural heritage artefacts, supporting documentation, analysis, and long-term conservation. However, conventional methods typically require specialized expertise and manual intervention to maintain optimal scanning conditions and coverage. We present an automated two-robot scanning system that eliminates the need for handheld or semi-automatic workflows by combining coordinated robotic manipulation with high-resolution 3D scanning. Our system parameterizes the scanning space into distinct regions, enabling coordinated motion planning between a scanner-equipped robot and a tray-handling robot. Optimized trajectory planning and waypoint distribution ensure comprehensive surface coverage, minimize occlusions, and balance reconstruction accuracy with system efficiency. Experimental results show that our approach achieves significantly lower Chamfer Distance and higher F-score compared to baseline methods, offering superior geometric accuracy, improved digitization efficiency, and reduced reliance on expert operators.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 5 of its 22 references that are in the map. First posted on arXiv 6 Oct 2025.
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5 of 22 references.
References · 5
- 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,141
- 2023Nerfstudio: A Modular Framework for Neural Radiance Field Developmentcited by 596
- 2021Neural RGB-D Surface Reconstructioncited by 312
- 2020SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Imagescited by 68
- 2023ZeroShape: Regression-based Zero-shot Shape Reconstructioncited by 30
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