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
Top Papers
- 1
- 2Lie group analysis method for wall climbing robot systems4 citations · 2022
- 3