Papers
11
Total Citations
90
H-Index
4
About
Abbas Alili is an emerging researcher at the intersection of rehabilitation robotics, wearable exoskeletons, and prosthetic device personalization. His work spans two complementary domains: advancing hip exoskeleton technology for mediolateral balance control and developing user-centered tuning frameworks for robotic knee prostheses. Alili's most impactful contribution — garnering 27 citations — demonstrates that a powered bilateral hip exoskeleton with admittance control can actively modulate step width during walking, a breakthrough in mediolateral balance assistance previously unachieved in real-world settings. His subsequent work has deepened this line of inquiry by exploring closed-loop feedback control and evaluating the effects of continuous mediolateral torque on gait balance in non-disabled individuals. Equally significant is his research on prosthesis personalization. With 25 and 18 citations respectively, his frameworks for user-preferred and user-controlled tuning of robotic knee prostheses address a longstanding clinical bottleneck — the time-intensive manual adjustment process — by integrating reinforcement learning with user preference. Complementary qualitative studies using think-aloud protocols and thematic analysis reveal the psychological and experiential dimensions shaping amputees' device preferences. Collectively, Alili's research advances a human-centered vision of assistive robotics, where both mechanical capability and individual user experience are treated as essential design priorities.
Research Focus
Key Achievements
Top Papers
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- 3User Controlled Interface for Tuning Robotic Knee Prosthesis18 citations · 2021
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