Research on Automated On-Site Construction of Timber Structures: Mobile Construction Platform Guided by Real-Time Visual Positioning System

In recent years, the AEC industry has increasingly sought sustainable solutions to enhance productivity and reduce environmental pollution, with wood emerging as a key renewable material due to its excellent carbon sequestration capability and low ecological footprint. Despite significant advances in digital fabrication technologies for timber construction, on-site assembly still predominantly relies on manual operations, thereby limiting efficiency and precision. To address this challenge, this study proposes an automated on-site timber construction process that integrates a mobile construction platform (MCP), a fiducial marker system (FMS) and a UWB/IMU integrated navigation system. By deconstructing traditional modular stacking methods and iteratively developing the process in a controlled laboratory environment, the authors formalize raw construction experience into an effective workflow, supplemented by a self-feedback error correction system to achieve precise, real-time end-effector positioning. Extensive experimental results demonstrate that the system consistently achieves millimeter-level positioning accuracy across all test scenarios, with translational errors of approximately 1 mm and an average repeat positioning precision of up to 0.08 mm, thereby aligning with on-site timber construction requirements. These findings validate the method’s technical reliability, robustness and practical applicability, laying a solid foundation for a smooth transition from laboratory trials to large-scale on-site timber construction.

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Publication Details

Journal
Buildings
Published
2025-05-08
DOI
https://doi.org/10.3390/buildings15101594
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
0.00

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article

Research on Automated On-Site Construction of Timber Structures: Mobile Construction Platform Guided by Real-Time Visual Positioning System

Da Wan, Haining Zhou, Hiroatsu Fukuda, Xinyu Shi et al.
Buildings
BIM and Construction Integration
article

Research on Automated On-Site Construction of Timber Structures: Mobile Construction Platform Guided by Real-Time Visual Positioning System

Da Wan, Haining Zhou, Hiroatsu Fukuda, Xinyu Shi, Ke Bi, Wenxuan Zhao, Peng Du, Chengpeng Sun
article en

Abstract

In recent years, the AEC industry has increasingly sought sustainable solutions to enhance productivity and reduce environmental pollution, with wood emerging as a key renewable material due to its excellent carbon sequestration capability and low ecological footprint. Despite significant advances in digital fabrication technologies for timber construction, on-site assembly still predominantly relies on manual operations, thereby limiting efficiency and precision. To address this challenge, this study proposes an automated on-site timber construction process that integrates a mobile construction platform (MCP), a fiducial marker system (FMS) and a UWB/IMU integrated navigation system. By deconstructing traditional modular stacking methods and iteratively developing the process in a controlled laboratory environment, the authors formalize raw construction experience into an effective workflow, supplemented by a self-feedback error correction system to achieve precise, real-time end-effector positioning. Extensive experimental results demonstrate that the system consistently achieves millimeter-level positioning accuracy across all test scenarios, with translational errors of approximately 1 mm and an average repeat positioning precision of up to 0.08 mm, thereby aligning with on-site timber construction requirements. These findings validate the method’s technical reliability, robustness and practical applicability, laying a solid foundation for a smooth transition from laboratory trials to large-scale on-site timber construction.

BuildingsVol. 15(10)
Thomas Jefferson University (US), Tianjin Chengjian University (CN), The University of Kitakyushu (JP), Qingdao University of Technology (CN)
National Natural Science Foundation of China, Tianjin Municipal Science and Technology Bureau
Openalex Percentile: Top 90%
BIM and Construction Integration
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