Yue Bao

Yokohama National University, Tokyo City University

Papers

Total Citations

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About

Yue Bao is a pioneering researcher in intelligent transportation systems and autonomous construction technologies, with a career spanning over two decades. Their foundational work in vehicle lateral guidance control, particularly the 1997 paper on feed-forward multilayer neural network models, established critical frameworks for developing adaptive vehicle control systems that integrate PID, optimal, and fuzzy control methodologies. This research has garnered 4 citations and laid essential groundwork for modern intelligent transportation and manufacturing systems requiring flexibility and real-time adaptability. More recently, Bao has advanced into unmanned construction systems, addressing critical safety challenges at hazardous worksites. Their 2020 study on Direct-Visual-Operation Support Systems tackles the persistent problem of reduced work efficiency and accuracy caused by limited operator perspective in remote construction operations. While the citation count for this work is currently 2, it represents an emerging and vital area of research with significant practical implications for worker safety. Bao’s career trajectory demonstrates a consistent commitment to bridging theoretical control systems with real-world applications, from autonomous vehicle guidance to construction robotics, making their work particularly relevant for researchers exploring human-machine interaction and automation in safety-critical environments.