Yunjun Xu

University of Central Florida

Papers

18

Total Citations

167

H-Index

6

About

Yunjun Xu is a robotics and control systems researcher whose work bridges theoretical trajectory optimization and real-world agricultural automation. His early contributions focused on advanced motion planning algorithms, including bio-inspired and virtual motion camouflage methods for nonlinear constrained systems, with his 2012 paper on sequential virtual motion camouflage accumulating 37 citations and establishing his foundation in optimal trajectory control. Over time, Xu channeled these computational frameworks into precision agriculture, pioneering autonomous robotic solutions for strawberry farming — one of horticulture's most labor-intensive domains. His research spans the full stack of agricultural robotics: cooperative multi-robot task assignment, disease detection systems integrating aerial and ground vehicles, wheel-terrain interaction modeling, end-effector design for gentle fruit picking, and vision-guided row transition control. A 2024 paper on a small autonomous strawberry harvesting robot has already garnered 31 citations, underscoring the timeliness and practical relevance of his work. Xu's portfolio reflects a researcher who consistently translates rigorous control theory into deployable systems, addressing urgent challenges in farm labor shortages and agricultural efficiency through intelligent, autonomous machines.

Research Focus

Key Achievements

6
H-Index
18
Papers
167
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Sequential virtual motion camouflage method for nonlinear constrained optimal trajectory control
37 citations · 2012
📈 Most Prolific Year: 2014 (2 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: University of Central Florida

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago