Ali Selk Ghafari
Papers
8
Total Citations
109
H-Index
5
About
Ali Selk Ghafari is a leading researcher in the intersection of robotics, biomechanics, and rehabilitation engineering. His primary research areas include assistive exoskeletons, human-robot interaction, and bio-inspired robotic systems. Ghafari’s major contributions center on developing intelligent control systems for rehabilitation and mobility assistance, particularly for elderly and partially paralyzed individuals. His work on variable admittance control for gait rehabilitation exoskeletons introduced a novel strength metric for assist-as-needed therapy, while his optimal target impedance selection research advanced the safety and performance of human-robot interaction. Ghafari’s foundational modeling of the human lower extremity musculo-skeletal structure using bond graph approach provided a rigorous framework for understanding human motion dynamics. His most cited work, a multi-body simulation of flapping-wing robots (31 citations), demonstrates his versatility in bio-inspired robotics. Ghafari has also explored the integration of nanoparticles to improve dynamic responses in composite beams, showcasing interdisciplinary innovation. With over 100 cumulative citations across his publications, Ghafari’s research has significantly influenced rehabilitation robotics, offering practical solutions for enhancing mobility and quality of life for individuals with motor impairments.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Optimal target impedance selection of the robot interacting with human21 citations · 2017
- 4
- 5
- 6
- 7
- 8Design and control of an assistive exoskeleton with passive toe joint2 citations · 2018