Kiyotaka Saga
Papers
2
Total Citations
63
H-Index
2
About
Kiyotaka Saga is a leading researcher in agricultural robotics, with a primary focus on precision harvesting systems for soft fruits. His work centers on developing computer vision and collision-free control algorithms to enable robots to autonomously identify and pick delicate crops like strawberries without damaging the fruit or the plant. Saga’s major contributions include a two-stage detection approach using Histogram of Oriented Gradients (HOG) descriptors to locate slightly overlapping strawberries—a challenging real-world scenario—achieving 57 citations for this foundational work. He also pioneered a collision-free control algorithm for a strawberry-harvesting robot that uses stereo vision to distinguish ripe from immature fruits, allowing the end-effector to approach the target without harming nearby unripe berries. This system integrates a fixed harvesting robot with a mobile cultivation bed, employing visual feedback control to guide the gripper to the peduncle. While his citation counts are modest, Saga’s research addresses critical bottlenecks in agricultural automation: improving detection accuracy and ensuring safe, gentle manipulation. His work is notable for its practical, systems-level approach, combining perception, path planning, and end-effector design to advance the feasibility of robotic harvesting in commercial strawberry production.
Research Focus
Key Achievements
Top Papers
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- 2