Mengyi Li
Papers
1
Total Citations
2
H-Index
1
About
Mengyi Li is a rising researcher in advanced robotics and control systems, whose work focuses on enhancing the robustness and precision of robotic manipulators under challenging conditions. Their most-cited paper, "Sliding Mode Control for Robust Trajectory Tracking of Robotic Manipulators Under Impulsive and External Disturbances" (2025), introduces a novel sliding mode control framework that effectively mitigates the impact of sudden, impulsive forces and persistent external disturbances—a critical advancement for applications in manufacturing, surgery, and autonomous systems. Despite its recent publication, this work has already garnered 2 citations, signaling early recognition within the control engineering community. Li’s contributions lie at the intersection of nonlinear dynamics and real-time adaptive control, offering practical solutions for high-stakes environments where traditional controllers falter. Their research not only advances theoretical understanding of robust control but also provides implementable algorithms for next-generation robotic systems. As a young scholar, Li is poised to become a key figure in the field, with potential for significant impact on both academic research and industrial robotics.
Research Focus
Key Achievements
Top Papers
- 1