Meng Lei
Papers
1
Total Citations
6
H-Index
1
About
Meng Lei is a researcher whose work bridges advanced robotics and mathematical physics, with a particular focus on the dynamics and control of snake-like robotic systems. Their most-cited paper, "Algebraic Structure and Poisson Integral Method of Snake-Like Robot Systems" (2021), introduces a novel framework for modeling these complex, hyper-redundant robots. By deriving the generalized momentum, Hamiltonian function, and generalized Hamilton canonical equations for snake-like robot systems, Lei reveals the underlying Lie-admissible algebraic structures that govern their motion. This work provides a powerful mathematical toolkit—including contravariant algebraic forms and Poisson integral methods—for analyzing and controlling these robots with greater precision. While still early in their career, with their top paper garnering 6 citations, Lei’s contributions are foundational for researchers exploring the intersection of geometric mechanics and bio-inspired robotics. Their approach offers a rigorous alternative to purely numerical simulations, promising more efficient and stable control strategies for snake-like robots in applications like search-and-rescue and minimally invasive surgery.
Research Focus
Key Achievements
Top Papers
- 1