Mohd Hanif Mohd Ramli
Papers
3
Total Citations
18
H-Index
2
About
Dr. Mohd Hanif Mohd Ramli is a leading researcher in rehabilitation robotics and intelligent control systems, with a focus on developing assistive technologies for stroke recovery. His most impactful work, "Arm Exoskeleton for Rehabilitation Following Stroke by Learning Algorithm Prediction" (2014, 11 citations), introduces a novel approach to hand motor function rehabilitation by employing learning algorithms to predict and guide bilateral movement practice, addressing a critical need for stroke survivors. Dr. Ramli further advanced the field of under-actuated robotics in his 2012 paper (5 citations), where he utilized Artificial Neural Networks (ANN) to predict passive joint positioning for 3R serial robots, demonstrating how intelligent systems can compensate for limited actuation. His earlier work on the MM3A micro-manipulator system (2011, 2 citations) showcases his expertise in high-precision control, integrating PD control with Active Force Control (AFC) and Fuzzy Logic to enhance microrobotic accuracy. Collectively, Dr. Ramli’s research bridges robotics, machine learning, and rehabilitation engineering, offering practical solutions for motor function recovery and advancing the capabilities of under-actuated and micro-manipulation systems. His contributions are vital for students and researchers exploring intelligent robotic systems for healthcare and precision automation.
Research Focus
Key Achievements
Top Papers
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