Ubaidillah Ubaidillah
Papers
5
Total Citations
49
H-Index
2
About
Ubaidillah Ubaidillah is a leading researcher at the intersection of rehabilitation robotics and intelligent medical systems, with a primary focus on developing affordable, patient-responsive assistive technologies for gait impairment. His most impactful work centers on robotic ankle-foot orthoses (AFOs) for post-stroke rehabilitation, where he has pioneered cost-effective designs that balance functionality with accessibility—a critical challenge for developing nations like Indonesia. His highly cited 2019 review (39 citations) established foundational knowledge on controlling AFO mechanical properties for gait assistance, while his subsequent research introduced customized, patient-driven algorithms for foot drop training. Notably, his 2023 case report demonstrated immediate therapeutic effects using a robotic AFO with a patient-request-based setting, marking a shift toward personalized rehabilitation. Beyond orthotics, Ubaidillah has ventured into deep learning applications for medical robotics, including voice chatbots for hospital assistance and CNN-based face liveness detection for secure patient verification. His work consistently addresses the trade-off between device complexity, functionality, and cost, making advanced rehabilitation technology more attainable. With a growing portfolio that bridges mechanical engineering, control systems, and artificial intelligence, Ubaidillah is shaping the future of accessible, intelligent medical devices for post-stroke care in resource-limited settings.
Research Focus
Key Achievements
Top Papers
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- 4Face Liveness Detection Using CNN for Face Verification on Medical Robot2 citations · 2022
- 5