Zihan Liu
Papers
1
Total Citations
1
H-Index
1
About
Zihan Liu is a rising researcher in the field of rehabilitation robotics, with a primary focus on developing intelligent control systems for lower limb assistive devices. Their most notable contribution is a novel following control method that integrates Model Predictive Control (MPC) with a Fiducial Marker system, designed to enhance the autonomy and safety of rehabilitation robots for stroke patients. This work addresses the critical challenge of enabling robots to seamlessly track and adapt to a patient’s natural movements during therapy, a key step toward more effective, human-centered rehabilitation. While their 2025 paper has just begun to accumulate citations, the innovative fusion of predictive control and visual marker tracking signals a promising direction for the field. Liu’s research sits at the intersection of robotics, control theory, and clinical rehabilitation, aiming to reduce the burden on therapists while improving motor recovery outcomes for the growing population of stroke survivors.
Research Focus
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Top Papers
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