Papers

3

Total Citations

65

H-Index

3

About

Yanzhou Li is a robotics researcher whose work bridges the gap between intelligent control, agricultural automation, and autonomous navigation. His primary research areas include multi-robot coordination, computer vision for precision agriculture, and path planning for mobile robots. Li’s most impactful contribution is his work on adaptive consensus tracking for multi-robotic systems, where he developed an integral sliding mode control strategy that ensures robust coordination among multiple robots—a paper that has garnered 31 citations. In the domain of agricultural robotics, he tackled the challenging problem of sugarcane node localization using binocular vision and an improved YOLOv4 algorithm (21 citations), addressing the complexities of leaf-wrapped nodes and high computational demands. Li also advanced wheeled robot navigation with an enhanced A* algorithm that incorporates jump point search and pruning methods (13 citations), improving efficiency for applications like food delivery and disinfection. His work demonstrates a clear trajectory from theoretical control systems to practical, real-world robotic solutions, making significant contributions to both industrial and agricultural automation.

Research Focus

Key Achievements

3
H-Index
3
Papers
65
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Adaptive consensus tracking of multi-robotic systems via using integral sliding mode control
31 citations · 2021
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Guangdong University of Technology, Guangxi University

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago