Keita Yamada
Papers
1
Total Citations
3
H-Index
1
About
Keita Yamada is a robotics researcher whose work focuses on autonomous navigation in challenging, GPS-denied environments. His primary research areas include mobile robot control, computer vision, and sensor fusion for localization. Yamada’s most notable contribution is the development of a novel system that enables a mobile robot to calculate its relative position and angle to a marker using only internal and external camera images. By leveraging the size and visual information of the marker, his approach allows the robot to autonomously follow a predetermined path without relying on satellite signals. This work, published in 2021, has garnered 3 citations and addresses a critical limitation in field robotics, particularly for indoor, underground, or urban canyon settings where GPS is unreliable. Yamada’s research advances the practical deployment of autonomous vehicles in real-world, infrastructure-poor environments, offering a cost-effective and robust alternative to traditional localization methods. His contributions are valuable for students and researchers interested in vision-based navigation and resilient mobile robot control.
Research Focus
Key Achievements
Top Papers
- 1