Shingo Nagakura
Papers
2
Total Citations
37
H-Index
2
About
Shingo Nagakura is a leading researcher in the field of robotic 3D modeling and spatial intelligence, with a primary focus on automating large-scale environmental reconstruction. His work bridges the gap between robotics, computer vision, and laser scanning technology, addressing the critical challenge of efficiently capturing complex, real-world structures. Nagakura’s most notable contribution is the development of cooperative multi-robot systems for automatic 3D modeling, as detailed in his highly cited 2016 paper (33 citations). This work pioneered methods for deploying multiple robots to collaboratively scan and reconstruct large environments, significantly reducing manual intervention. He further advanced the field with his research on Cyber-Physical System Simultaneous Localization and Mapping (CPS-SLAM), which enables autonomous planning of laser measurements for expansive areas. By solving the problem of optimal sensor placement during scanning, his work has had a direct impact on practical applications, including the reverse engineering of petrochemical plants, civil engineering, construction, and the digital preservation of cultural heritage sites. Nagakura’s research is instrumental in making 3D laser scanning more efficient, scalable, and accessible for industrial and archaeological applications.
Research Focus
Key Achievements
Top Papers
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