Qian Bi
Papers
2
Total Citations
12
H-Index
2
About
Qian Bi’s research lies at the intersection of rehabilitation robotics, human–machine interaction, and neural engineering, with a focus on restoring motor function after neurological injury. Her work pioneers adaptive control strategies for hand exoskeletons, addressing a critical gap in post-stroke therapy: conventional position controllers fail to manage the variable, compliant forces needed for safe and effective human–robot interaction. In her most cited paper (2014, 10 citations), Bi introduced a model-referenced adaptive impedance controller for an index finger exoskeleton, enabling the device to dynamically adjust its stiffness and damping in response to user intent—a breakthrough that improved both comfort and therapeutic efficacy. She further advanced the field by integrating brain–computer interfaces (BCI) with exoskeleton control (2016), creating a closed-loop system that leverages cortical plasticity for cerebrum training. This work demonstrated that neural signals could directly drive robotic assistance, offering a pathway to personalized, neurorehabilitation. Though early in her career, Bi’s contributions are shaping next-generation assistive devices that are not only responsive but also adaptive to each patient’s unique recovery trajectory.
Research Focus
Key Achievements
Top Papers
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- 2