Papers

4

Total Citations

65

H-Index

4

About

M. M. Hafizur Rahman is a pioneering researcher in rehabilitation robotics and human-robot interaction, with a focus on developing assistive technologies for elderly and physically disabled individuals. His work centers on neuro-fuzzy control systems, robotic exoskeletons, and impedance characterization of human limbs, aiming to restore upper-limb motion for those affected by geriatric disorders, spinal cord injuries, strokes, and other trauma. Rahman’s most cited paper (33 citations) introduces a neuro-fuzzy based motion control for a 3DOF robotic exoskeleton, leveraging electromyographic signals to assist upper-limb movement. His foundational research on impedance characteristics of the human arm (13 citations) has informed cooperative robot design, enabling machines to mimic natural human motion. Additionally, his studies on passive movement dynamics of shoulder and elbow joints (5 citations) have deepened understanding of human biomechanics for rehabilitation. With over 65 total citations across his key works, Rahman’s contributions bridge control engineering and clinical application, offering scalable solutions for motion assist and rehabilitation. His notable achievement includes developing a mobile exoskeleton system that integrates end-effector force vectors, advancing practical assistive robotics.

Research Focus

Key Achievements

4
H-Index
4
Papers
65
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Neuro-fuzzy based motion control of a robotic exoskeleton: considering end-effector force vectors
33 citations · 2006
📈 Most Prolific Year: 2006 (3 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Saga University, Mie University, Khulna University of Engineering and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago