About

Yangchang Sun is pioneering the intersection of agricultural robotics and precision manufacturing, with a research focus on robotic manipulation, computer vision, and autonomous systems. His most impactful work addresses the challenge of automating delicate biological and industrial processes. Sun’s landmark 2023 study, “Delivery of pollen to forsythia flower pistils autonomously and precisely using a robot arm” (23 citations), demonstrated a breakthrough in robotic cross-pollination, achieving micron-level precision in handling live plant tissues. He extended this concept in 2025 with “Engineering crop flower morphology facilitates robotization of cross-pollination and speed breeding” (21 citations), proposing that modifying flower structures can dramatically improve robotic efficiency—a novel approach to accelerating plant breeding. In manufacturing, his 2023 paper on “Digital Twin Driven Measurement in Robotic Flexible Printed Circuit Assembly” (21 citations) tackles the critical challenge of assembling tiny, flexible components in smartphones, where traditional robots fail due to size and detection issues. Sun’s earlier work on real-time 3D reconstruction (12 citations) and 3D grasp pose generation further underpin his expertise in enabling robots to perceive and interact with complex, unstructured environments. By bridging agriculture and advanced manufacturing, Sun is redefining what autonomous robots can achieve.

Research Focus

Key Achievements

4
H-Index
5
Papers
80
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Delivery of pollen to forsythia flower pistils autonomously and precisely using a robot arm
23 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 30
🏛 Institutions: University of Chinese Academy of Sciences, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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