Muhammad Amirul Ashraf Zulkifli
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Total Citations
1
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About
Muhammad Amirul Ashraf Zulkifli is a researcher specializing in rehabilitation robotics, with a particular focus on wearable lower limb exoskeletons for stroke patients. His work addresses a critical challenge in neurorehabilitation: ensuring that robotic assistive devices can accurately track and guide patients through prescribed range-of-motion (ROM) training trajectories. In his most cited paper, "Assessment of Wearable Lower Limb Rehabilitation Robot Dynamics: A Study on ROM Training Performance" (2023), Zulkifli investigates how dynamic modeling errors can be magnified during robot-assisted gait therapy, potentially compromising patient safety and recovery outcomes. By analyzing the relationship between model accuracy and trajectory tracking performance, his research provides foundational insights for improving the precision and reliability of lower limb rehabilitation robots. While his citation count is still growing, Zulkifli's work contributes to the broader goal of making robotic rehabilitation more effective and accessible for stroke survivors. His research sits at the intersection of mechanical engineering, control systems, and clinical rehabilitation, offering practical solutions for enhancing the dynamic performance of wearable assistive technologies.
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Top Papers
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