Naomichi Kuga
Papers
1
Total Citations
2
H-Index
1
About
Naomichi Kuga is a robotics researcher whose work centers on sensor fusion, mobile robotics, and autonomous navigation systems. His major contribution lies in developing integrated sensor network frameworks for inverted pendulum mobile robots, exemplified by his work on the campus robot "KoRo." This platform demonstrated how combining data from multiple sensors—including obstacle, wall, and human body detectors—enables stable, real-world navigation in dynamic environments. While his most cited paper has garnered 2 citations, its significance is in laying foundational principles for sensor fusion that support practical robotic applications in indoor settings. Kuga’s research addresses key challenges in balancing control and environmental perception, making his work relevant to students and engineers interested in mobile robot design, autonomous systems, and human-robot interaction. His achievements include advancing the practical deployment of inverted pendulum robots as service platforms, contributing to the broader goal of creating responsive, sensor-rich robots for campus and public spaces.
Research Focus
Key Achievements
Top Papers
- 1