Papers
4
Total Citations
67
H-Index
4
About
Dr. Xueqin Chen is a leading researcher in the control and autonomy of robotic systems, with a primary focus on free-floating space robots and intelligent actuation. Her most impactful work addresses the fundamental challenge of controlling space robots with minimal fuel consumption and high precision. She pioneered a **predefined-time control** method for free-floating space robots in task space, ensuring that critical maneuvers are completed within a guaranteed timeframe—a vital capability for orbital servicing and debris removal. Complementing this, she developed an **LPV-based offline model predictive control** (MPC) strategy that simplifies the complex, nonlinear dynamics of space robots into a more tractable linear parameter-varying model, enabling efficient and reliable control design. These two cornerstone papers have garnered nearly 60 citations, establishing her as a key contributor to the field. Dr. Chen has also advanced terrestrial robotics, designing an **L1 adaptive resonance ratio controller** for series elastic actuators that guarantees superior transient performance in human-robot interaction, and applying deep learning for robust face recognition in security robots. Her work bridges the gap between theoretical control guarantees and practical deployment in both space and terrestrial environments.
Research Focus
Key Achievements
Top Papers
- 1Predefined-time control for free-floating space robots in task space30 citations · 2021
- 2LPV-Based Offline Model Predictive Control for Free-Floating Space Robots29 citations · 2021
- 3
- 4Deep Learning based Face Recognition for Security Robot4 citations · 2022