Yeongsu Kim

Papers

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About

Yeongsu Kim is a leading researcher in agricultural robotics and intelligent greenhouse systems, with a focus on automating labor-intensive tasks in protected cultivation environments. Their work addresses critical challenges in modern agriculture, including labor shortages, hazardous working conditions, and the need for efficient, safe robot navigation in confined spaces. Kim’s most-cited paper, "Analyses of Work Efficiency of a Strawberry-Harvesting Robot in an Automated Greenhouse" (2020, 34 citations), provides pioneering insights into the operational performance of harvesting robots, evaluating speed, accuracy, and economic viability under real greenhouse conditions. This study has become a foundational reference for optimizing robotic harvesting in high-value crops. Another notable contribution, "Evolutionary Greenhouse Layout Optimization for Rapid and Safe Robot Navigation" (2019, 15 citations), introduces a novel computational approach to redesigning greenhouse layouts, enabling robots to navigate more quickly and safely while minimizing collisions with plants and structures. Kim’s research bridges engineering, horticulture, and automation, offering practical solutions that enhance productivity and worker safety. Their work is widely cited by researchers developing autonomous systems for controlled-environment agriculture, and it continues to influence the design of next-generation agricultural robots.