Papers

3

Total Citations

175

H-Index

3

About

Zhongjie Li is a pioneering researcher at the intersection of soft robotics, energy harvesting, and agricultural AI. His work is defined by a unique ability to draw inspiration from nature—from leeches to tomatoes—to engineer intelligent, self-powered systems. Li’s major contributions include the development of a leech-inspired amphibious soft robot driven by high-voltage triboelectricity, a breakthrough that enables versatile locomotion across land and water (50 citations). He also advanced underwater robotics with a high-efficiency electromagnetic transducer featuring a circularly abrupt magnetic flux density change, achieving self-powered operation (69 citations). In precision agriculture, Li developed a lightweight tomato ripeness detection algorithm based on an improved RT-DETR model, significantly enhancing harvesting efficiency and economic benefits (56 citations). With over 175 combined citations across these three highly influential papers, Li’s work demonstrates a rare fusion of bio-inspired design, sustainable energy, and practical AI—offering transformative solutions for robotics and smart farming. His achievements mark him as a rising leader in creating autonomous, energy-autonomous systems.

Research Focus

Key Achievements

3
H-Index
3
Papers
175
Total Citations
58
Avg Citations/Paper
🏆 Most Cited Paper
Towards self-powered technique in underwater robots via a high-efficiency electromagnetic transducer with circularly abrupt magnetic flux density change
69 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 25
🏛 Institutions: University of New Brunswick, Minzu University of China, Shanghai University

Top Papers

  1. 1
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago