Papers

4

Total Citations

41

H-Index

4

About

Yuqi Hu is a robotics and control systems researcher whose work has made meaningful contributions to the field of precision motion control, particularly in the area of contour tracking for robotic manipulators. His research focuses on developing advanced control algorithms that improve the accuracy with which multi-degree-of-freedom robotic systems follow complex trajectories — a challenge critical to industrial automation and precision manufacturing. Hu's most impactful contribution is his development of position domain sliding mode control (PDC-SMC) frameworks, which represent an innovative departure from traditional time-domain approaches. His 2016 paper introducing a model-independent PDC-SMC law — his most cited work with 25 citations — demonstrated how contour tracking performance could be significantly enhanced without relying on precise system models, making the approach more practical for real-world applications. Building on this, his earlier work pioneered cross-coupled contour tracking control for multi-DOF serial robots, addressing a gap in the literature where prior research had been largely confined to simpler two or three-axis translational systems. Collectively, Hu's publications reflect a coherent research trajectory aimed at bridging theoretical control design with practical robotic implementation, earning him recognition among researchers working on high-precision motion control and intelligent robotic systems.

Research Focus

Key Achievements

4
H-Index
4
Papers
41
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Model-independent position domain sliding mode control for contour tracking of robotic manipulator
25 citations · 2016
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Hunan University of Science and Technology, Toronto Metropolitan University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago