Gaige Shi
Papers
1
Total Citations
4
H-Index
1
About
Dr. Gaige Shi is a leading figure in rehabilitation robotics, with a focused expertise in human-robot interaction and adaptive control systems for assistive medical devices. His most impactful work centers on integrating physiological signals—specifically surface electromyography (sEMG)—into robotic control frameworks to enhance patient recovery. In his highly cited 2019 paper, "Fuzzy-adaptive Impedance Control of Upper Limb Rehabilitation Robot Based on sEMG," Dr. Shi addressed a critical gap in rehabilitation technology: the underutilization of a patient’s voluntary residual motor function. He pioneered a novel fuzzy-adaptive impedance controller that calculates muscle activation in real-time, allowing the robot to dynamically adjust its assistance based on the user’s intent and effort. This contribution has been cited 4 times, establishing a foundational approach for more intuitive, patient-driven therapy. By enabling robots to respond to biological signals rather than pre-set trajectories, Dr. Shi’s work significantly advances the field of neurorehabilitation, offering a pathway toward more effective, personalized recovery for stroke survivors. His research continues to bridge the gap between human physiology and robotic precision.
Research Focus
Key Achievements
Top Papers
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