Component-based BIM-semantic web integration for enhanced robotic visual perception

IF 11.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Automation in Construction Pub Date : 2025-06-05 DOI:10.1016/j.autcon.2025.106270

Aiyu Zhu , Zimu Shao , Xini Chai , Encheng Ma , Qingyang Li , Hongyu Ye , Hong Zhang

{"title":"Component-based BIM-semantic web integration for enhanced robotic visual perception","authors":"Aiyu Zhu , Zimu Shao , Xini Chai , Encheng Ma , Qingyang Li , Hongyu Ye , Hong Zhang","doi":"10.1016/j.autcon.2025.106270","DOIUrl":null,"url":null,"abstract":"<div><div>Visual perception plays a crucial role in enhancing construction robots’ real-time performance by enabling accurate object recognition, localization, and scene understanding in complex construction environments. While current research focuses on visual recognition for tasks like spatial localization and navigation, it falls short of addressing the more advanced functions necessary for comprehensive construction planning. This paper proposes an integrated framework that combines building semantic web technologies with image recognition techniques to significantly improve robotic perception. By merging real-time image recognition with BIM-based semantic mapping, robots can gather critical information on component types, spatial relationships, and construction requirements. Case studies illustrate the framework’s ability to improve adaptability, precision, and efficiency in both static and dynamic construction environments, thereby enabling more intelligent, automated, and efficient robotic construction processes, with the potential for broader applications in the future of construction technology.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"177 ","pages":"Article 106270"},"PeriodicalIF":11.5000,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Automation in Construction","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0926580525003103","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}

引用次数: 0

Abstract

Visual perception plays a crucial role in enhancing construction robots’ real-time performance by enabling accurate object recognition, localization, and scene understanding in complex construction environments. While current research focuses on visual recognition for tasks like spatial localization and navigation, it falls short of addressing the more advanced functions necessary for comprehensive construction planning. This paper proposes an integrated framework that combines building semantic web technologies with image recognition techniques to significantly improve robotic perception. By merging real-time image recognition with BIM-based semantic mapping, robots can gather critical information on component types, spatial relationships, and construction requirements. Case studies illustrate the framework’s ability to improve adaptability, precision, and efficiency in both static and dynamic construction environments, thereby enabling more intelligent, automated, and efficient robotic construction processes, with the potential for broader applications in the future of construction technology.

查看原文本刊更多论文

基于组件的bim -语义web集成，增强机器人视觉感知

视觉感知通过在复杂的建筑环境中实现准确的物体识别、定位和场景理解，在提高建筑机器人的实时性方面起着至关重要的作用。虽然目前的研究主要集中在空间定位和导航等任务的视觉识别上，但它缺乏解决综合建设规划所需的更高级功能。本文提出了一个将构建语义网技术与图像识别技术相结合的集成框架，以显著提高机器人的感知能力。通过将实时图像识别与基于bim的语义映射相结合，机器人可以收集有关组件类型、空间关系和构造要求的关键信息。案例研究表明，该框架能够在静态和动态施工环境中提高适应性、精度和效率，从而实现更智能、自动化和高效的机器人施工过程，在未来的施工技术中具有更广泛的应用潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Automation in Construction 工程技术-工程：土木

CiteScore

19.20

自引率

16.50%

发文量

563

审稿时长

8.5 months

期刊介绍： Automation in Construction is an international journal that focuses on publishing original research papers related to the use of Information Technologies in various aspects of the construction industry. The journal covers topics such as design, engineering, construction technologies, and the maintenance and management of constructed facilities. The scope of Automation in Construction is extensive and covers all stages of the construction life cycle. This includes initial planning and design, construction of the facility, operation and maintenance, as well as the eventual dismantling and recycling of buildings and engineering structures.