Papers
10
Total Citations
324
H-Index
8
About
Guoli Zhu is a leading researcher in rehabilitation robotics, with a primary focus on developing intelligent, compliant robotic systems for ankle therapy. Their major contributions center on the design and control of the Compliant Ankle Rehabilitation Robot (CARR), a bio-inspired platform that uses Festo Fluidic muscles to mimic human skeletal movement. Zhu’s work has significantly advanced patient safety and training effectiveness, most notably through an adaptive patient-cooperative control strategy that adjusts robotic assistance in real time—a breakthrough cited over 100 times. Their research also explores the clinical application of these robots for treating conditions like drop foot, and they have pioneered the integration of virtual reality and brain-computer interfaces (e.g., SSVEP-based passive training) to make rehabilitation more engaging. With a portfolio of highly cited papers—including a comprehensive review on active training strategies—Zhu has established a strong impact in the field, with their top-cited work alone garnering over 100 citations. Beyond rehabilitation, Zhu has recently ventured into industrial robotics, developing high-precision vision-based methods for shield machine maintenance, demonstrating a versatile engineering acumen.
Research Focus
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