Papers

3

Total Citations

12

H-Index

2

About

Jing-Li Fu is a researcher focused on the mathematical modeling and dynamic analysis of robotic systems, particularly snake-like and wall-climbing robots. Their work bridges advanced algebraic structures with practical robotics, notably applying Lie group theory and Poisson integral methods to derive generalized Hamilton canonical equations for snake-like robots. This approach reveals the Lie-admissible algebra structures underlying these systems, offering new tools for control and simulation. Fu’s most cited paper (2021, 6 citations) establishes foundational algebraic frameworks, while subsequent work extends Lie group analysis to wall-climbing robots (2022, 4 citations) and explores flexible object dynamics via the d’Alembert-Lagrange principle (2025, 2 citations). Though early in their career, Fu’s contributions are notable for integrating abstract mathematics—such as contravariant algebraic forms—into robotic locomotion theory, providing a rigorous foundation for future bio-inspired and flexible robot design. Their research holds promise for advancing autonomous systems in complex environments.

Research Focus

Key Achievements

2
H-Index
3
Papers
12
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Algebraic Structure and Poisson Integral Method of Snake-Like Robot Systems
6 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Zhejiang University of Water Resource and Electric Power, Zhejiang Sci-Tech University

Top Papers

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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago