Fangyi Li

Guangzhou University

Papers

2

Total Citations

19

H-Index

2

About

Fangyi Li is a leading researcher in advanced robotics, with a primary focus on the control and trajectory planning of Delta parallel robots for high-speed, high-precision applications. Li’s major contributions center on enhancing motion stability and accuracy in these complex systems, directly addressing challenges posed by model inaccuracies and external disturbances. Notably, their 2024 work on “Trajectory Tracking of Delta Parallel Robot via Adaptive Backstepping Fractional-Order Non-Singular Sliding Mode Control” (10 citations) introduces a novel robust control strategy that significantly improves tracking performance under uncertainty. Complementing this, their 2023 study on “Trajectory Smoothing Planning of Delta Parallel Robot Combining Cartesian and Joint Space” (9 citations) tackles the critical issue of abrupt tangent changes at trajectory corners, which degrade motion smoothness and efficiency. By fusing Cartesian and joint space planning, Li’s method ensures seamless, jerk-free paths, directly benefiting industrial applications like sorting and assembly. With a growing citation footprint, Li’s work is shaping the next generation of agile, reliable robotic systems for precision manufacturing.

Research Focus

Key Achievements

2
H-Index
2
Papers
19
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Trajectory Tracking of Delta Parallel Robot via Adaptive Backstepping Fractional-Order Non-Singular Sliding Mode Control
10 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Guangzhou University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago