Tomohiro Morio
Papers
1
Total Citations
7
H-Index
1
About
Tomohiro Morio is a researcher specializing in autonomous robotics and visual odometry, with a focus on self-localization systems for mobile robots. His key research areas include computer vision, motion estimation, and sensor fusion, particularly using floor images and acceleration models to enhance robot navigation. Morio’s major contribution is the development of an AKAZE-based visual odometry system that leverages keypoint detection from floor images, combined with acceleration models, to achieve robust 2D motion measurement for autonomous robots. This work, published in 2019, has garnered 7 citations, reflecting its relevance in the field of robotics localization. By addressing the challenge of accurate self-localization without reliance on external infrastructure, Morio’s research supports advancements in autonomous navigation for indoor environments. His approach demonstrates a practical integration of feature-based visual tracking and inertial data, offering a low-cost solution for robot positioning. Morio’s contributions are valuable for students and researchers interested in visual odometry, SLAM, and autonomous systems, providing a foundation for further innovation in real-time robot localization.
Research Focus
Key Achievements
Top Papers
- 1