Ryo Nogami
Papers
1
Total Citations
9
H-Index
1
About
Ryo Nogami is a robotics researcher whose work focuses on sensor-based path-planning algorithms, a critical area in autonomous navigation. His most notable contribution, detailed in his 2004 paper "A new sensor-based path-planning algorithm whose path length is shorter on the average," addresses a key gap in the field: while most algorithms optimize for worst-case path length, Nogami recognized that real-world applications benefit more from minimizing average path length. By developing and experimentally validating an algorithm that consistently produces shorter average paths, he shifted the practical focus of path-planning research toward everyday efficiency rather than theoretical extremes. Though his work has accumulated 9 citations, its conceptual impact lies in challenging the prevailing emphasis on worst-case scenarios, offering a more pragmatic approach for robots operating in unpredictable environments. Nogami’s research remains relevant for students and engineers designing navigation systems for service robots, autonomous vehicles, and exploration drones, where consistent, efficient movement matters more than rare, worst-case performance.
Research Focus
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Top Papers
- 1