Integrating CAD and extended robotics for masonry restoration: a scalable workflow for historic and heritage buildings (HHBs)

Abstract Computer-aided design (CAD) and automation are advancing the high-precision restoration of damaged masonry structures. This paper proposes a scalable, repeatable workflow, evaluated on a historic screen wall in China, to demonstrate the feasibility and efficiency of these techniques. Our framework consists of two primary systems to improve mortar-brick construction. The Historic-led Restorative System (HLRS) provides an architect-friendly digital interface for handling input images and generating 3D restoration models, utilising pixel-to-voxel basics and integrated retrieval modules. The second system, the Extended Automation System (EAS), bridges the gap between modelling and physical prototyping. It integrates extended reality (XR) and robotic assembly for hybrid additive manufacturing requirements, allowing seamless data transfer for physically augmented assembly. This multi-terminal digital workflow uses iterative algorithms to make the restoration process more interactive and visually accessible. The initial case study evaluated each system iteration indicator and confirmed the framework’s high accuracy and efficiency in a real-world application.

Authors

Institutions

Publication Details

Journal
npj Heritage Science
Published
2025-10-18
DOI
https://doi.org/10.1038/s40494-025-02089-9
Citations
1
Primary Topic
3D Surveying and Cultural Heritage
Type
article
Field-Weighted Citation Impact
2.35

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrating CAD and extended robotics for masonry restoration: a scalable workflow for historic and heritage buildings (HHBs)

Jianing Luo, Adam Fingrut, Yi Gong, Boyuan Yu
1 citations
npj Heritage Science
3D Surveying and Cultural Heritage
2.35
article

Integrating CAD and extended robotics for masonry restoration: a scalable workflow for historic and heritage buildings (HHBs)

Jianing Luo, Adam Fingrut, Yi Gong, Boyuan Yu
article en
1 citations

Abstract

Abstract Computer-aided design (CAD) and automation are advancing the high-precision restoration of damaged masonry structures. This paper proposes a scalable, repeatable workflow, evaluated on a historic screen wall in China, to demonstrate the feasibility and efficiency of these techniques. Our framework consists of two primary systems to improve mortar-brick construction. The Historic-led Restorative System (HLRS) provides an architect-friendly digital interface for handling input images and generating 3D restoration models, utilising pixel-to-voxel basics and integrated retrieval modules. The second system, the Extended Automation System (EAS), bridges the gap between modelling and physical prototyping. It integrates extended reality (XR) and robotic assembly for hybrid additive manufacturing requirements, allowing seamless data transfer for physically augmented assembly. This multi-terminal digital workflow uses iterative algorithms to make the restoration process more interactive and visually accessible. The initial case study evaluated each system iteration indicator and confirmed the framework’s high accuracy and efficiency in a real-world application.

npj Heritage ScienceVol. 13(1)
Oxford Brookes University (GB), Chinese University of Hong Kong (HK), Hong Kong University of Science and Technology (HK)
University College London, Chinese University of Hong Kong
Openalex Percentile: Top 9%
3D Surveying and Cultural Heritage
2.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.