Lixue Mei

Jingdezhen University

Papers

1

Total Citations

4

H-Index

1

About

Dr. Lixue Mei is a rising scholar in the field of robotics and nonlinear control systems, whose work focuses on enhancing the precision and robustness of autonomous manipulators operating under uncertainty. Her most-cited research introduces a novel generalized sliding mode controller (GSMC) that reimagines trajectory tracking through the lens of motion constraints, effectively decoupling an ideal controller from a continuous sliding mode component to suppress chattering while maintaining high disturbance rejection. This foundational work, published in 2024 and already accumulating 4 citations, addresses a critical bottleneck in industrial and service robotics: the trade-off between tracking accuracy and control smoothness. By framing the control problem as one of constrained motion rather than pure error minimization, Mei’s approach offers a practical pathway for deploying manipulators in unstructured environments—from surgical assistants to deep-sea exploration arms. Her contributions are particularly notable for bridging theoretical rigor with real-world applicability, earning early recognition among peers. As a young investigator, Dr. Mei’s work signals a promising trajectory toward more adaptive, safer, and more efficient robotic systems, making her a researcher to watch in the next wave of intelligent automation.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
A novel generalized sliding mode controller for uncertain robot manipulators based on motion constraints
4 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Jingdezhen University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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