Papers
14
Total Citations
519
H-Index
10
About
Yongchun Xie is a robotics and control systems researcher whose work spans adaptive control, robotic manipulation, visual servoing, and space robotics. He is best known for his pioneering contributions to adaptive Jacobian control frameworks that address simultaneous uncertainties in robot kinematics and dynamics — a technically challenging and practically significant problem in real-world robotic deployment. His 2009 paper on force control for robotic cell microinjection (145 citations) demonstrated how automation could dramatically improve the quality, repeatability, and productivity of delicate biological procedures. His foundational work on adaptive inverse dynamics control (95 citations) and prediction error-based adaptive Jacobian tracking (79 citations) has shaped modern approaches to robust robot control, including applications to free-floating space manipulators operating under compound uncertainties. More recently, Xie has advanced the field through innovative frameworks including dynamic modularity for closed-architecture robotic systems and passive separation techniques for adaptive visual tracking, addressing the practical constraints of commercial robots. His research on bilateral teleoperation and force/position tracking further reflects his commitment to bridging theoretical rigor with real-world application. With over 490 citations across his most prominent works, Xie has established himself as a significant contributor to intelligent, adaptive robotic control systems.
Research Focus
Key Achievements
Top Papers
- 1A Force Control Approach to a Robot-assisted Cell Microinjection System145 citations · 2009
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- 5Passive Separation Approach to Adaptive Visual Tracking for Robotic Systems40 citations · 2018
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- 7Adaptive Image-Space Regulation for Robotic Systems17 citations · 2019
- 8Passivity based task-space bilateral teleoperation with time delays13 citations · 2011
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