Koichi Oka
Papers
17
Total Citations
297
H-Index
8
About
Koichi Oka is a pioneering researcher in agricultural robotics and human-robot interaction, whose career has been largely devoted to solving one of horticulture's most persistent challenges: automating the harvesting of sweet peppers in greenhouse environments. With over 270 citations across his most influential works, Oka has made foundational contributions to the field of robotic harvesting systems, advancing every critical subsystem required for practical deployment. His early work established core frameworks for pepper recognition using parallel stereovision and visual feedback control, while subsequent research refined fruit detection through innovative LED light reflection techniques and 3D pose estimation. Oka's engineering contributions extend to the mechanical design of specialized end-effectors, including gripper mechanisms and thermal cutting systems tailored for delicate horticultural applications. More recently, he has explored continuum manipulator design, developing novel elastic-column mechanisms that improve robustness in unstructured greenhouse environments. Beyond agricultural robotics, Oka has contributed meaningfully to medical robotics, designing compact master-slave systems with force feedback and energy recycling for upper-limb rehabilitation. Spanning over a decade of sustained inquiry, his body of work represents a comprehensive, systems-level approach to intelligent automation in both agriculture and assistive technology.
Research Focus
Key Achievements
Top Papers
- 1
- 23D pose estimation of green pepper fruit for automated harvesting58 citations · 2016
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- 5A distinction method for fruit of sweet pepper using reflection of LED light21 citations · 2008
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- 8Development of Picking Robot in Greenhouse Horticulture10 citations · 2005
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