Shiyin Qiu
Papers
10
Total Citations
100
H-Index
4
About
Shiyin Qiu is a leading researcher in the field of rehabilitation and assistive robotics, with a primary focus on lower limb exoskeletons and brain-computer interfaces (BCIs). Their work centers on developing intelligent control strategies that seamlessly integrate human physiology with robotic systems to restore and augment motor function. Qiu’s major contributions include pioneering methods for online estimation of human joint muscular torque, enabling active power-assist in exoskeletons, and proposing novel balance assistance control strategies based on single-step assessment and virtual stiffness models. Notably, their research has expanded into supernumerary robotic limbs and motor imagery, demonstrating that sixth-finger motor imagery can enhance EEG pattern classification—a breakthrough for movement augmentation. With over 100 total citations, Qiu’s most cited work, “Towards Online Estimation of Human Joint Muscular Torque with a Lower Limb Exoskeleton Robot” (49 citations), has laid critical groundwork for human-robot interaction. Their recent studies on functional electrical stimulation and gait phase encoding further highlight their commitment to restoring natural gait in stroke patients, making Qiu a pivotal figure in advancing neurorehabilitation and assistive technology.
Research Focus
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Top Papers
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- 10Conditions for active assistance control of exoskeleton robot2 citations · 2020