Papers
11
Total Citations
312
H-Index
8
About
Leiying He is a robotics and agricultural automation researcher whose work sits at the crossroads of computer vision, robotic systems design, and precision agriculture. He is best known for pioneering intelligent tea harvesting technology, developing systems that enable robots to detect, localize, and pluck tea shoots with remarkable accuracy in unstructured outdoor environments. His 2021 paper on RGB-D camera-based tea shoot detection and 3D localization has garnered 94 citations, establishing a foundational framework for field-deployable agricultural robots, while his 2023 full robotic harvesting system study (60 citations) demonstrated real-world viability of autonomous tea plucking. Beyond agriculture, He has made significant contributions to industrial robotics, notably analyzing kinematic sensitivity and dimensional synthesis for a redundantly actuated parallel robot designed for friction stir welding — work that attracted 74 citations. His research extends into deep learning model compression for real-time detection, trajectory optimization using improved ant colony algorithms, and tendon-driven soft gripper design. With a publication record spanning over 15 years and accumulating nearly 300 citations, He's body of work reflects a sustained commitment to bridging advanced robotics engineering with practical agricultural and manufacturing challenges.
Research Focus
Key Achievements
Top Papers
- 1In-field tea shoot detection and 3D localization using an RGB-D camera94 citations · 2021
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- 7Design and Experiment of Intelligent Picking Robot for Famous Tea10 citations · 2022
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