Construction Robotics for On-Site Automation: A Review of Research and Applications
オンサイト自動化のための建設ロボティクス：研究と応用のレビュー (AI 翻訳)
Hongnian Yu, Erwei Li, Nguyen Vu Linh, S. Cang, Jianwei Zhao, Yun Li
🤖 gxceed AI 要約
日本語
本論文は、建設現場におけるロボティクスの応用を、デジタルワークフロー統合と現場性能に焦点を当ててレビューする。組立・配置、点検・マッピング、穴あけ・表面処理の3領域に整理し、BIM連携やデジタルツインなどの技術を分析。サイクルタイム、精度、リワーク低減などの指標で実績を評価し、知覚ロバスト性や相互運用性などの課題を指摘する。
English
This paper reviews on-site construction robotics with emphasis on digital workflow integration and field performance. It organizes research into three domains: assembly/placement, inspection/mapping, and drilling/surface operations. It analyzes technologies like BIM-to-robot execution and digital twins, evaluates deployments using cycle time, accuracy, rework reduction, and discusses barriers like perception robustness and interoperability.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本の建設業界は労働力不足と生産性向上が喫緊の課題であり、本レビューの知見は省人化・効率化に資するロボット導入の方向性を示す。GXの観点では、資源効率向上や廃材削減に間接的に寄与するが、直接の脱炭素施策ではない。
In the global GX context
Globally, construction robotics are gaining traction as a means to improve productivity and address labor shortages. This review provides a structured overview of digital workflow integration, which is relevant for sustainable construction practices by reducing waste and improving resource efficiency.
👥 読者別の含意
🔬研究者:The paper maps the research landscape of construction robotics and identifies key barriers and performance indicators, offering a foundation for future work on scalable automation.
🏢実務担当者:Practitioners can learn about current deployment examples of robots for assembly, inspection, and drilling, and the digital workflows (BIM, digital twins) that enable them.
🏛政策担当者:Policymakers may note the discussion on safety assurance and workforce adaptation as factors for regulating and promoting construction automation.
📄 Abstract（原文）
On-site construction and renovation remain among the least productive and most resource-intensive industrial activities due to labour-intensive workflows, limited digital integration, and dynamic site conditions. Unlike industrial robots in structured factories or disaster robots in unstructured environments, construction robots operate in semi-structured sites with evolving geometry, incomplete digital information, and continuous human presence, creating both deployment challenges and automation opportunities. This paper reviews on-site construction robotics with emphasis on digital workflow integration and field performance. Existing research is organised into three application domains-assembly and placement, inspection and mapping, and drilling and surface operations-and analysed through a digital workflow stack including BIM-to-robot execution, simulation-informed planning, digital twins for closed-loop coordination, and perception-semantic integration. Reported deployments are synthesised using performance indicators such as cycle time, setup efficiency, geometric accuracy, rework reduction, ergonomic workload, and resource efficiency. Key barriersincluding perception robustness, interoperability, safety assurance, and workforce adaptation-are discussed to outline research directions for scalable and sustainable construction robotics.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1109/isoirs70157.2026.11545216first seen 2026-07-16 06:52:34
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