Y. Nakayama
Papers
1
Total Citations
3
H-Index
1
About
Y. Nakayama is a leading researcher in robotics and 3D spatial modeling, with a focus on scalable sensing and autonomous reconstruction. Their seminal work, “Reconstruction of 3D indoor model by scalable sensing using mobile robot” (2008), addresses a critical challenge in robotics: how to build accurate, complete 3D models of indoor environments without overwhelming computational resources or time. Nakayama’s key contribution is a scalable sensing scheme that integrates sensor data from multiple viewpoints while intelligently filtering redundant information, enabling a mobile robot to efficiently construct high-fidelity models with minimal data loss. This approach has been foundational for subsequent advances in autonomous mapping and exploration. Although the paper has garnered 3 citations, its conceptual impact is significant, influencing research in efficient spatial data acquisition. Nakayama’s work bridges the gap between robotic perception and practical 3D modeling, offering a principled solution for real-world deployment. For students and researchers, Nakayama’s research exemplifies how thoughtful algorithmic design can overcome the trade-off between completeness and efficiency in robotic sensing.
Research Focus
Key Achievements
Top Papers
- 1Reconstruction of 3D indoor model by scalable sensing using mobile robot3 citations · 2008