4 papers
Large language model and reinforcement learning based autonomous construction and progress updates
Yifei Xiao, Huasheng Lin, T. Y. Yang
Due to the rapid growth of the global population, traditional construction methods are gradually unable to meet the current housing demand. The advancement of machine learning algo…
Vision-aided nonlinear control framework for shake table tests
Zhongwei Chen, T. Y. Yang, Yifei Xiao +2
The structural response under the earthquake excitations can be simulated by scaled-down model shake table tests or full-scale model shake table tests. In this paper, adaptive cont…
A reinforcement learning based construction material supply strategy using robotic crane and computer vision for building reconstruction after an earthquake
Yifei Xiao, T. Y. Yang, Xiao Pan +2
After an earthquake, it is particularly important to provide the necessary resources on site because a large number of infrastructures need to be repaired or newly constructed. Due…
A Novel Approach for Deterioration and Damage Identification in Building Structures Based on Stockwell-Transform and Deep Convolutional Neural Network
Vahidreza Gharehbaghi, Hashem Kalbkhani, Ehsan Noroozinejad Farsangi +4
In this paper, a novel deterioration and damage identification procedure (DIP) is presented and applied to building models. The challenge associated with applications on these type…