Tomoya Yoshida
Papers
2
Total Citations
5
H-Index
2
About
Tomoya Yoshida is a researcher in mobile robotics, specializing in outdoor navigation and environmental perception. His work focuses on developing robust algorithms that enable robots to estimate their position and orientation using natural and artificial sensory data. A key contribution is his "Spot-based LIDAR profile estimation algorithm," which addresses the challenge of accurately measuring environmental distance profiles from a moving robot. This work, cited 3 times, is critical for improving the reliability of Light Detection and Ranging (LIDAR) sensors in dynamic, real-world conditions. Yoshida has also made notable strides in celestial-based navigation, as demonstrated in his study on estimating a mobile robot’s angular heading by leveraging the sun’s azimuth angle from omnidirectional images. This approach, cited 2 times, offers a robust alternative for self-localization when traditional landmarks are unavailable. By fusing LIDAR data with visual cues from the sun, Yoshida’s research provides practical solutions for stable, long-term autonomous navigation, directly impacting the development of field robots used in agriculture, surveying, and logistics.
Research Focus
Key Achievements
Top Papers
- 1
- 2