Papers
5
Total Citations
24
H-Index
4
About
Lili Yi is an agricultural robotics researcher whose work sits at the intersection of autonomous navigation, path planning, and precision agriculture. Her research primarily focuses on developing intelligent robotic systems for orchard and vineyard environments, addressing the complex challenges of autonomous operation in unstructured agricultural settings. Yi's most notable contributions include pioneering path planning algorithms tailored for orchard robots, most prominently her 2024 work on Multi-Constrained Bessel Curve-based fertilization robot navigation, which tackled persistent issues of path smoothness and curvature instability that hampered real-world deployment. Her parallel development of the S-TEB (Smooth Time Elastic Band) algorithm for orchard lawn mowers further demonstrates her commitment to practical, field-ready solutions. Earlier work from 2018 on vineyard row-following using 3D perception and LiDAR-based obstacle detection established her credentials in robust robot localization and safety-critical autonomous systems. Collectively, her publications have accumulated approximately 24 citations, reflecting a growing recognition of her contributions to agricultural automation. Yi's research addresses a critically important domain as global agriculture increasingly turns toward robotics to improve efficiency, reduce labor dependency, and enable precision farming at scale — making her work both timely and consequential for the future of smart agriculture.
Research Focus
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Top Papers
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