Papers

5

Total Citations

193

H-Index

5

About

Dr. Lijuan Xie is a pioneering researcher at the intersection of computer vision, robotics, and agricultural automation. Her work focuses on developing intelligent sensing systems that enable robots to perceive and interact with delicate objects, particularly in post-harvest food handling. Dr. Xie’s most influential contribution is her 2019 deep learning framework for detecting foreign objects in walnuts, which has garnered 135 citations and set a benchmark for non-destructive quality inspection in the food industry. She has further advanced the field by designing visuo-tactile sensors that allow robotic arms to measure peach firmness and contact force without damaging the fruit—a breakthrough for automated packaging. Her 2023 study on a robotic peach packaging system, integrating deep learning with mechanical design, has also earned 22 citations, demonstrating real-world applicability. Most recently, Dr. Xie has pushed boundaries with an optical/electronic artificial skin capable of molecular sensing, extending robotic perception beyond touch to chemical detection. Her work not only enhances food safety and efficiency but also lays the groundwork for more intuitive human-robot interactions in agriculture and beyond.

Research Focus

Key Achievements

5
H-Index
5
Papers
193
Total Citations
39
Avg Citations/Paper
🏆 Most Cited Paper
Computer vision detection of foreign objects in walnuts using deep learning
135 citations · 2019
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: Zhejiang University, Ministry of Agriculture and Rural Affairs, Zhejiang Lab

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago