Papers
2
Total Citations
40
H-Index
1
About
Zixin Que is a robotics researcher whose work centers on enhancing robotic manipulation through innovative mechanical design and intelligent control. Her key research areas include impedance-controllable end-effectors, hybrid motion-impedance control, and wireless embedded sensing for human-robot interaction. Que’s most impactful contribution is her 2021 paper on a spherical wrist with hybrid motion-impedance control, which has garnered 39 citations. This work introduces a back-drivable wrist that mimics human wrist capabilities by combining motion accuracy with active compliance, offering a robust solution for delicate manipulation tasks. More recently, in 2025, she developed a wireless embedded sensing system using physics-based neural networks for a magnetic leadscrew, enabling simultaneous displacement and force measurements—a critical advancement for lightweight, impedance-controllable end-effectors in physical human-robot interaction. Though early in her career, Que’s integration of smart compliance and sensing technologies positions her as a promising contributor to safer, more dexterous robotic systems. Her research is particularly relevant for students and engineers exploring the intersection of mechatronics, control theory, and interactive robotics.
Research Focus
Key Achievements
Top Papers
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