Gook-Hwan Kim

National Academy of Agricultural Science

Papers

Total Citations

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About

Gook-Hwan Kim is a leading researcher in agricultural robotics, specializing in autonomous navigation and precision weeding for complex outdoor environments. His work addresses critical challenges in both paddy fields and mountainous orchards, where uneven terrain and delicate crops demand innovative sensing and control solutions. Kim’s most influential contribution is his 2012 paper on a robot platform for unmanned weeding in paddy fields, which has garnered 19 citations. This work introduced a sensor fusion-based system capable of stable travel between rice seedlings while performing weeding tasks without crop damage—a breakthrough for labor-intensive rice farming. Building on this, his 2018 study on autonomous in-row navigation for orchard robots (9 citations) developed a 2D LIDAR-based system using particle filters with a laser-beam model, enabling safe operation in hazardous, sloping terrain. By integrating robust navigation with task-specific functionality, Kim’s research directly addresses the labor shortages and safety risks in agriculture, paving the way for fully autonomous farming systems. His work remains foundational for researchers developing field-deployable robots that must balance precision, stability, and adaptability in real-world conditions.