Xiaolong Duan
Papers
2
Total Citations
29
H-Index
2
About
Xiaolong Duan is a rising researcher in the fields of tethered space robotics and physical human-robot interaction, with a focus on advanced nonlinear control and estimation. His work addresses critical challenges in underactuated systems, particularly the deployment of tethered space robots, where he has pioneered feasibility condition optimization and fast logarithmic sliding mode control to ensure stable, high-performance operation. His most cited paper (2023, 24 citations) introduces a novel framework for human-assisted regulation of tethered space robot deployment, tackling the dual challenges of feasibility analysis and performance optimization. More recently, Duan has advanced the state of the art in physical human-robot interaction by developing a practical reset logarithmic sliding mode control scheme that leverages sensorless behavior estimation—eliminating the need for dedicated force/torque sensors. This work, published in 2024, demonstrates his ability to merge theoretical rigor with practical implementation, using a switching term in a logarithmic sliding mode observer to infer operator intent. Though early in his career, Duan’s contributions are already shaping the trajectory of safe, efficient robotic systems for space and collaborative applications, marking him as a promising innovator in control engineering.
Research Focus
Key Achievements
Top Papers
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