Katsumi Yoshino
Meijo University, Shimane Institute for Industrial Technology
Papers
2
Total Citations
14
H-Index
2
About
Katsumi Yoshino is a robotics researcher whose work centers on autonomous navigation, sensor fusion, and precision localization for mobile robots. His most-cited paper, “Improvement of a tele-presence robot autonomous navigation Using SLAM algorithm” (2016, 10 citations), addresses a core challenge in robotics: enabling robots to map unknown environments and localize themselves simultaneously. This contribution is vital for making tele-presence and service robots more practical and user-friendly. Yoshino further advances this field in “Position measurement for a mobile weed mowing robot by a camera and a laser rangefinder” (2017, 4 citations), where he develops a novel tracking laser rangefinder that fuses camera vision with laser distance measurement. This system, which tracks a red ball on the robot, demonstrates his focus on robust, low-cost solutions for outdoor agricultural robotics. By integrating SLAM algorithms with innovative sensor combinations, Yoshino’s work directly impacts the reliability of autonomous navigation in both indoor and outdoor settings. His research is particularly relevant for students and engineers interested in practical SLAM implementation, sensor integration, and the development of autonomous systems for real-world applications like tele-presence and precision agriculture.
Research Focus
Key Achievements
Top Papers
- 1
- 2