Zhenzhu Li

Binzhou Medical University, Henan University of Science and Technology

Papers

Total Citations

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About

Zhenzhu Li is a rising researcher at the intersection of medical robotics and rehabilitation engineering, with a focused expertise in developing intelligent, patient-centered assistive technologies. Her work centers on two key areas: low-cost motion tracking for surgical skills assessment and adaptive control strategies for upper-limb rehabilitation robots. Li’s major contributions include pioneering a feasibility study for an affordable motion tracking system to objectively evaluate endoscope-holding skills, a critical step toward democratizing surgical training. More significantly, she has advanced the field of rehabilitation robotics by designing an innovative "assist-as-needed" (AAN) control strategy that leverages a patient’s own healthy-limb motion characteristics. This approach intelligently calibrates robotic assistance to promote active patient engagement, which is essential for restoring central nervous system function. Her most-cited works have collectively garnered over 20 citations, with her 2024 papers on AAN control quickly gaining recognition for their practical impact on progressive rehabilitation training. Li’s research is notable for its direct clinical relevance, aiming to make robotic therapy more adaptive, motivating, and effective for patients recovering from neurological injuries.