Yuta HODA
Papers
1
Total Citations
10
H-Index
1
About
Yuta Hoda is a researcher specializing in autonomous navigation and localization systems for mobile robots and vehicles, with a particular focus on sensor fusion techniques. His major contribution lies in developing a GNSS/IMU localization system that operates effectively even when wheel speed sensors cannot be attached—a common limitation in many robotic platforms. By employing time-series optimization with road gradient constraints, his work addresses the critical challenge of maintaining high-accuracy location information for autonomous navigation. His most-cited paper (2023, 10 citations) proposes an alternative to traditional Kalman filter approaches, offering robust positioning in environments where conventional methods fail. This research has practical implications for autonomous vehicles, logistics robots, and field robotics operating in unstructured terrains. Hoda’s work bridges the gap between theoretical sensor fusion algorithms and real-world deployment constraints, making autonomous systems more reliable and adaptable. His contributions are particularly valuable for students and engineers working on navigation systems for wheeled robots or vehicles where sensor limitations are a key design consideration.
Research Focus
Key Achievements
Top Papers
- 1