Keji Nagatani
Papers
1
Total Citations
14
H-Index
1
About
Keji Nagatani is a leading figure in field and service robotics, with a particular focus on autonomous navigation and environmental perception in complex, unstructured settings. His research centers on developing robust mapping and localization systems for robots operating in challenging domains, from disaster response to construction sites. A key contribution is his work on semantic mapping, where he pioneered methods to create high-level, contextual representations of dynamic environments. His 2021 paper, "Semantic Mapping of Construction Site From Multiple Daily Airborne LiDAR Data," which has garnered 14 citations, demonstrates a novel approach to fusing temporal LiDAR data to generate semantic maps that evolve over time. This work is critical for enabling construction robots to understand not just geometry, but the functional meaning of their surroundings. Beyond this, Nagatani is widely recognized for his leadership in the development of rescue robots, notably contributing to systems deployed after real-world disasters. His sustained impact is reflected in a strong citation record, underscoring his role in advancing the practical deployment of autonomous systems in the most demanding environments.
Research Focus
Key Achievements
Top Papers
- 1