{"title":"Environmental sensing in autonomous construction robots: Applicable technologies and systems","authors":"Chinedu Okonkwo, Ibukun Awolusi","doi":"10.1016/j.autcon.2025.106075","DOIUrl":null,"url":null,"abstract":"<div><div>Environmental sensing is crucial for the effective operation of mobile robots, particularly on construction sites where conditions can change rapidly. While some studies have implemented different sensing technologies independently for autonomous mobile robot navigation, comprehensive studies on applicable sensors and technologies for dynamic construction environments, particularly for enhancing productivity and safety, are lacking. To fill this gap, this paper provides a comprehensive review of environmental sensing technologies for mobile construction robots, assessing their strengths, weaknesses, and applicability in the dynamic construction environment. Utilizing a combination of scientometric analysis and a critical review, three themes—vision-based sensing, localization and mapping, and autonomous navigation and path planning, which form the main sensing systems for the operation of autonomous mobile robots—were identified and analyzed. The review also identified and evaluated the different sensor technologies that facilitate environmental sensing. This paper also highlights significant research gaps and provides recommendations for future research studies.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"172 ","pages":"Article 106075"},"PeriodicalIF":9.6000,"publicationDate":"2025-02-19","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/S0926580525001153","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
Environmental sensing is crucial for the effective operation of mobile robots, particularly on construction sites where conditions can change rapidly. While some studies have implemented different sensing technologies independently for autonomous mobile robot navigation, comprehensive studies on applicable sensors and technologies for dynamic construction environments, particularly for enhancing productivity and safety, are lacking. To fill this gap, this paper provides a comprehensive review of environmental sensing technologies for mobile construction robots, assessing their strengths, weaknesses, and applicability in the dynamic construction environment. Utilizing a combination of scientometric analysis and a critical review, three themes—vision-based sensing, localization and mapping, and autonomous navigation and path planning, which form the main sensing systems for the operation of autonomous mobile robots—were identified and analyzed. The review also identified and evaluated the different sensor technologies that facilitate environmental sensing. This paper also highlights significant research gaps and provides recommendations for future research studies.
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.