Fumihiro Inoue
Papers
6
Total Citations
38
H-Index
5
About
Fumihiro Inoue is a pioneering researcher in construction robotics, specializing in automated inspection and precision positioning systems for infrastructure maintenance and building processes. His major contributions center on developing robotic solutions that enhance safety, accuracy, and efficiency in construction and structural health monitoring. Inoue’s most cited work, a 2010 study on an automated inspection robot for detecting outer tile wall exfoliation using wavelet analysis (11 citations), introduces a novel diagnostic method that combines rapid vertical wall traversal with hammering sound analysis to identify tile separation—a critical safety issue in aging buildings. This research, along with a related 2009 paper (10 citations), demonstrates his impact in non-destructive evaluation, providing a quantitative, automated alternative to manual inspections. Inoue also advanced construction site automation through a high-accuracy position marking system (2012, 5 citations) that integrates mobile robots with survey systems to reduce marking errors in foundation work, improving precision in material placement. His work on a variable guide frame for tunnel wall inspection (2017, 5 citations) further extends his expertise to underground infrastructure. With a total of over 38 citations across his key papers, Inoue’s research is notable for its practical applications in real-world construction challenges, bridging robotics, signal processing, and civil engineering to create safer, more reliable built environments.
Research Focus
Key Achievements
Top Papers
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- 4Shape Control of Variable Guide Frame for Tunnel Wall Inspection5 citations · 2017
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