Fujia Yu
Papers
7
Total Citations
71
H-Index
5
About
Fujia Yu is a robotics researcher whose work centers on visual servoing, robot manipulation, and humanoid locomotion. Yu’s primary contributions lie in developing stable, Lyapunov-based control systems for hand-eye robots, particularly through the concept of “eye-vergence” — a dual control strategy that separates hand and camera movements to enhance tracking stability and prevent target loss. Their most cited paper, “3-D hand & eye-vergence approaching visual servoing with Lyapunov-stable pose tracking” (2011, 30 citations), introduces a novel approach for guiding a robot end-effector to grasp objects with optimal posture. Yu also advanced force/position hybrid control under constraints (2011, 7 citations) and formulated dynamic models for humanoid walking that account for foot slipping and turnover using the Newton-Euler method (2011, 3 citations). With a total of over 70 citations across their published works, Yu’s research has contributed to making robotic systems more robust and reliable in real-world tasks, bridging theoretical stability proofs with practical implementations in manipulation and locomotion.
Research Focus
Key Achievements
Top Papers
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- 5Eye-vergence visual servoing enhancing Lyapunov-stable trackability5 citations · 2013
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