With the global promotion of industrialized buildings, characterized by out -of -site manufacturing and on -site installation, they have considerably improved the efficiency, profitability and use of materials compared to traditional construction methods. However, the current performance of the manufacture of industrialized buildings (IBM) always have a place for optimization in terms of time efficiency and cost reduction, which can be attributed to factors such as the lack of unified technical orientation, low productivity of human labor due to insufficient technical experts and the under-use of factory space. In this context, the integration of artificial intelligence (AI) and robotics has become a key direction to solve these problems and improve the development of IBM.
Consequently, Mengjun Wang, Jiannan Cai, Da Hu, Yuqing Hu, Zhu Han and Shuai Li of the institutions such as the University of Tennessee, Knoxville, the University of Texas in San Antonio, and the Kennesaw State University jointly conducted a revision study entitled “Robots based on AI in the industrialized construction building”.
This study adopts a review methodology for narrative literature, systematically exploring the integration of AI and robotics in IBM to improve the efficiency, profitability and use of materials in out -of -site assembly. Research classifies the applications of robots based on AI (AIRS) in four critical stages: cognition, communication, control and collaboration and coordination, and more in-depth studies their application in the process of assembly of industrialized buildings, which is divided in preparation for components, under-assembly, main assembly, finishing tasks and quality control. By analyzing the search from 2014 to 2024, the journal highlights the significant improvements that the air has made to the construction sector, identifies the existing challenges and describes the future research orientations. The cognition module focuses on the environmental perception of robots and cognition linked to humans through sensors and software techniques; The communication module explores basic protocols, field bus systems and human-robot interaction interfaces; The control module covers precise and adaptive low level control as well as movement and high -level path planning; The coordination and collaboration module examines the inter-robot coordination frameworks and different levels of collaboration of human robot.
The article “Robots based on AI in Industriced Building Manufacturing” written by Mengjun Wang, Jiannan Cai, Da Hu, Yuqing Hu, Zhu Han, Shuai Li is published in front. Eng. Manag. 2025, 12 (1): 59–85, with the DOI: https://doi.org/10.1007/S42524-025-4099-x.
