Papers
10
Total Citations
902
H-Index
6
About
Dongxing Zhang is a prominent researcher specializing in agricultural robotics, computer vision, and intelligent manufacturing systems, with particular expertise in autonomous strawberry harvesting technologies. His most influential contribution, "Fruit Detection for Strawberry Harvesting Robot in Non-Structural Environment Based on Mask-RCNN" (2019), has amassed an impressive 626 citations, establishing him as a leading voice in applying deep learning to precision agriculture. Zhang's work systematically addresses the core challenges of robotic harvesting — from fruit detection and real-time picking point localization (159 citations) to manipulator design and inverse kinematics solutions — effectively advancing the full pipeline of autonomous harvesting systems. His research on visual localization under complex conditions and composite detection models demonstrates a commitment to bridging the gap between laboratory algorithms and real-world agricultural deployment. Beyond agriculture, Zhang has explored magnetically driven 3D-printed microrobots for biomedical applications, digital twin-enabled human-machine interaction, and deep reinforcement learning for robotic arm control, reflecting a broad engagement with Industry 4.0 technologies. His body of work, spanning greenhouse mobile robotics to intelligent manufacturing, has made meaningful contributions to reducing agricultural labor dependency while advancing the frontier of applied robotics research.
Research Focus
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Top Papers
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- 10Design and Experiment of Self-Balancing Mobile Robot in Greenhouse2 citations · 2023