AI-based robots in industrialized building manufacturing

作     者：Mengjun WANG Jiannan CAI Da HU Yuqing HU Zhu HAN Shuai LI Mengjun WANG;Jiannan CAI;Da HU;Yuqing HU;Zhu HAN;Shuai LI

作者机构：Department of Civil and Environmental EngineeringThe University of TennesseeKnoxvilleTN 37996USA Department of Construction ScienceThe University of Texas at San AntonioSan AntonioTX 78249USA Department of Civil and Environmental EngineeringKennesaw State UniversityMariettaGA 30060USA Department of Architectural EngineeringPennsylvania State UniversityUniversity ParkPA 16802USA Department of Electrical and Computer EngineeringUniversity of HoustonHoustonTX 77004USA 

出 版 物：《Frontiers of Engineering Management》 (工程管理前沿(英文版))

年 卷 期：2025年第12卷第1期

页      面：59-85页

核心收录：

学科分类：08[工学] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 081102[工学-检测技术与自动化装置] 

基　　金：National Science Foundation(NSF)under Grants 2222670 2222730 and 222810 

主　　题：industrialized building off-site assembly automated factory assembly AI applications in construction robot manufacturing 

摘      要：Industrialized buildings,characterized by off-site manufacturing and on-site installation,offer notable improvements in efficiency,cost-effectiveness,and material *** transition from traditional construction methods not only accelerates building processes but also enhances working efficiencies *** its widespread adoption,the performance of industrialized building manufacturing(IBM)can still be optimized,particularly in enhancing time efficiency and reducing *** paper explores the integration of Artificial Intelligence(AI)and robotics at IBM to improve efficiency,cost-effectiveness,and material use in off-site *** a narrative literature review,this study systematically categorizes AI-based Robots(AIRs)applications into four critical stages—Cognition,Communication,Control,and Collab-oration and Coordination,and then investigates their appli-cation in the factory assembly process for industrialized buildings,which is structured into distinct stages:compo-nent preparation,sub-assembly,main assembly,finishing tasks,and quality *** stage,from positioning components to the integration of larger modules and subsequent quality inspection,often involves robots or human-robot collaboration to enhance precision and *** examining research from 2014 to 2024,the review highlights the significant improvements AI-based robots have introduced to the construction sector,identifies existing challenges,and outlines future research *** comprehensive analysis aims to establish more effi-cient,precise,and tailored construction processes,paving the way for advanced IBM.