Construction Industry
The construction industry is undergoing a digital transformation driven by the need for increased efficiency, safety, and sustainability. Current research focuses on leveraging artificial intelligence, particularly large language models and deep reinforcement learning, to automate tasks, optimize designs, and improve worker training through simulations and robotic assistance. This involves developing new algorithms for knowledge graph construction, image segmentation for robotic navigation, and natural language processing for human-robot interaction. These advancements promise to significantly improve productivity and safety within the construction sector.
Papers
Spinal nerve segmentation method and dataset construction in endoscopic surgical scenarios
Shaowu Peng, Pengcheng Zhao, Yongyu Ye, Junying Chen, Yunbing Chang, Xiaoqing Zheng
Adaptive Control of Resource Flow to Optimize Construction Work and Cash Flow via Online Deep Reinforcement Learning
Can Jiang, Xin Li, Jia-Rui Lin, Ming Liu, Zhiliang Ma