Geng, Song-Yuan
Cheng, Bo-Yuan
Long, Wu-Jian
Luo, Qi-Ling
Dong, Bi-Qin
Xing, Feng
Funding for this research was provided by:
National Natural Science Foundations of China, NSFC-Shandong Joint Fund (U2006223)
Shenzhen Key Laboratory for Low-carbon Construction Material and Technology (ZDSYS20220606100406016)
Guangdong Special Support Plan Science and Technology Innovation Leader
National Natural Science Foundation of China
Guangdong Special Support Plan (2023TX07G066)
National Natural Science Foundation of China-Shandong Joint Fund (U2006223)
This article is maintained by: Elsevier
Article Title: Co-driven physics and machine learning for intelligent control in high-precision 3D concrete printing
Journal Title: Automation in Construction
CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.autcon.2025.106294
Content Type: article
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