Yuichi Komoriya
Papers
1
Total Citations
3
H-Index
1
About
Yuichi Komoriya is a robotics researcher whose work centers on autonomous navigation, self-localization, and human–robot interaction. His most cited paper, “A Navigation Method Using the Mutual Feedback of Waypoints and Self-Positions” (2012, 3 citations), tackles a critical challenge in waypoint-based robot navigation: the risk that waypoints may become unreachable due to cumulative errors in self-localization, mapping, or waypoint data. Rather than focusing solely on improving localization accuracy—a common approach in the field—Komoriya proposed a novel mutual feedback framework that dynamically adjusts both waypoints and estimated self-positions, enhancing robustness in real-world environments. This contribution is particularly valuable for mobile robots operating in uncertain or dynamic settings. While his citation count remains modest, his work addresses a fundamental gap in navigation reliability, offering a practical solution that complements existing localization research. Komoriya’s research continues to explore how robots can better perceive and adapt to their surroundings, making his contributions relevant for students and engineers developing autonomous systems for applications ranging from service robotics to field exploration.
Research Focus
Key Achievements
Top Papers
- 1