Seokho Chi
Papers
2
Total Citations
91
H-Index
2
About
Dr. Seokho Chi is a leading researcher in construction automation and robotics, with a focus on overcoming critical challenges in the application of artificial intelligence to the built environment. His work bridges the gap between synthetic and real-world data, addressing the persistent problem of training data scarcity in construction. In his highly cited 2023 paper, Dr. Chi pioneered a hybrid deep neural network training method that integrates both synthetic and real construction images, achieving robust model performance where traditional approaches fail. This contribution, already garnering 48 citations, has significant implications for automated site monitoring and safety analysis. Earlier, his 2009 work on socio-technical changes and the industrialization of non-manufacturing sectors laid foundational insights for the role of robotics in construction, exploring how autonomous systems can ameliorate adverse working conditions and adapt to demographic shifts. Dr. Chi’s research continues to shape the trajectory of intelligent construction, demonstrating how advanced AI and robotics can transform an industry traditionally resistant to change.
Research Focus
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Top Papers
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