Ali Taherifar
Papers
8
Total Citations
97
H-Index
5
About
Ali Taherifar is a leading researcher in rehabilitation and assistive robotics, specializing in the design and control of wearable exoskeletons for individuals with mobility impairments. His work centers on developing intelligent, human-robot interaction systems that can adapt to users' needs, with key contributions in variable admittance control, optimal impedance selection, and assist-as-needed strategies. Taherifar introduced a novel strength metric for gait rehabilitation exoskeletons (28 citations), enabling more natural and effective assistive control. He also developed LOKOIRAN, a robotic platform for spinal cord injury and stroke rehabilitation (15 citations), and advanced sample-efficient policy adaptation methods for exoskeletons under varying user and environmental conditions (11 citations). His research on optimal target impedance selection (21 citations) has improved the safety and performance of human-robot interaction. Taherifar’s work bridges the gap between theoretical control methods and practical, user-adaptive systems, with applications in both rehabilitation and power augmentation. His contributions are widely cited and have influenced the design of compliant, intelligent wearable robots that enhance mobility and independence for partially disabled individuals.
Research Focus
Key Achievements
Top Papers
- 1
- 2Optimal target impedance selection of the robot interacting with human21 citations · 2017
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- 7Design and control of an assistive exoskeleton with passive toe joint2 citations · 2018
- 8Design and control of an assistive exoskeleton with passive toe joint2 citations · 2018