Papers
9
Total Citations
98
H-Index
6
About
Zixuan He is an emerging robotics researcher specializing in agricultural automation, machine vision, and robotic systems design. His work centers on solving one of modern agriculture's most pressing challenges: developing reliable, cost-effective robotic harvesting solutions for labor-intensive crops, particularly strawberries. He has made significant contributions to the full pipeline of robotic harvesting — from fruit detection and localization to mechanical design and field deployment. His most-cited work (31 citations) presents a compact autonomous robot tailored for open-field strawberry harvesting on elevated beds, addressing real-world constraints of farm economics and labor scarcity. Complementing this, He has advanced machine vision methodologies through deep learning frameworks including YOLOv4, YOLOv5, and YOLOv8, developing innovative multi-step detection models that accurately identify strawberries across varying maturity levels and challenging occlusion conditions. Beyond strawberries, He has extended his expertise to orchard navigation through lightweight semantic segmentation (Pomelo-Net) and contributed to soft-growing manipulator design for tree fruit operations. With over 98 cumulative citations across nine publications spanning 2021 to 2025, He demonstrates a rapidly accelerating research trajectory. His interdisciplinary approach — bridging robotics, computer vision, and agricultural engineering — positions him as a promising contributor to the future of precision agriculture.
Research Focus
Key Achievements
Top Papers
- 1A small autonomous field robot for strawberry harvesting31 citations · 2024
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- 9Analysis of Current Bipedal Robots by Comparative Method1 citations · 2024