Yuseung Jo
Papers
8
Total Citations
165
H-Index
5
About
Yuseung Jo is a leading researcher in agricultural robotics, specializing in human-centered automation for fruit and vegetable harvesting. His work bridges the gap between advanced robotic systems and practical farming needs, with a focus on developing efficient, user-friendly solutions. Jo’s major contributions include designing novel end-effectors and grippers for cucumber harvesting, as demonstrated in his highly cited papers on visual servoing and suction cup-based soft robotics, which have garnered over 50 and 40 citations, respectively. His research emphasizes harvest ordering and field validation, achieving significant impact with a total of over 160 citations across his top publications. Notably, Jo has pioneered prioritized path-planning algorithms for heterogeneous multi-UGV teams, such as the CBS-HT algorithm, which addresses real-world challenges in large orchards without requiring inter-robot communication. His work on human-centered robotic systems, detailed in a 2024 paper, aims to enhance efficiency and sustainability in diverse farming environments. Jo’s achievements underscore his commitment to transforming agriculture through robotics, making him a key figure in the field.
Research Focus
Key Achievements
Top Papers
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