Papers
26
Total Citations
3,375
H-Index
25
About
Yunchao Tang is a leading researcher at the intersection of agricultural robotics, computer vision, and artificial intelligence, with a specialized focus on automating fruit harvesting through advanced machine vision systems. His work has fundamentally advanced how robots perceive, detect, and interact with crops in complex, unstructured natural environments. Tang's most influential contribution — a comprehensive review of recognition and localization methods for vision-based fruit picking robots (2020, 546 citations) — established a foundational framework for the field, synthesizing emerging technologies that have guided subsequent research worldwide. His investigations span a remarkable breadth of crops, including guava, litchi, Camellia oleifera, and grapes, demonstrating versatility across diverse agricultural contexts. Tang has made significant strides in 3D vision technologies, binocular stereo vision, and SLAM-based orchard mapping, enabling robots to navigate and operate autonomously in real outdoor conditions. His work on collision-free path planning using deep reinforcement learning (2021, 151 citations) reflects a broader ambition to create fully intelligent harvesting systems. With over 2,100 combined citations across his top publications, Tang's research is profoundly shaping the future of precision agriculture and smart farming automation.
Research Focus
Key Achievements
Top Papers
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- 4Color-, depth-, and shape-based 3D fruit detection172 citations · 2019
- 5Guava Detection and Pose Estimation Using a Low-Cost RGB-D Sensor in the Field158 citations · 2019
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