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
FaithCAMERA: Construction of a Faithful Dataset for Ad Text Generation
Akihiko Kato, Masato Mita, Soichiro Murakami, Ukyo Honda, Sho Hoshino, Peinan Zhang
Scalable Frame-based Construction of Sociocultural NormBases for Socially-Aware Dialogues
Shilin Qu, Weiqing Wang, Xin Zhou, Haolan Zhan, Zhuang Li, Lizhen Qu, Linhao Luo, Yuan-Fang Li, Gholamreza Haffari