Kiyoshi Sota
Papers
1
Total Citations
4
H-Index
1
About
Kiyoshi Sota is a robotics researcher whose work focuses on precision autonomous navigation for agricultural applications, particularly in the development of intelligent weed mowing robots. His most cited paper, "Position measurement for a mobile weed mowing robot by a camera and a laser rangefinder" (2017), introduces a novel tracking laser rangefinder that enables a robot to autonomously localize itself within a field. By combining a camera to track a red ball mounted on the robot with a laser rangefinder to measure distance, Sota’s system achieves reliable, real-time position measurement without relying on GPS. This contribution is critical for enabling robots to operate in unstructured, GPS-denied environments like overgrown fields. While his citation count is modest—4 citations for his leading work—his research represents an important step toward practical, cost-effective agricultural robotics. Sota’s work bridges computer vision, sensor fusion, and field robotics, offering a tangible solution for automating labor-intensive tasks like mowing. For students and researchers interested in agricultural automation or mobile robot localization, Sota’s approach demonstrates how simple, robust sensor combinations can solve complex real-world navigation challenges.
Research Focus
Key Achievements
Top Papers
- 1