Mohammad Hafil Nugraha
Papers
1
Total Citations
3
H-Index
1
About
Mohammad Hafil Nugraha is a researcher at the forefront of rehabilitation robotics and computer vision, with a focus on developing intelligent assistive technologies for physical therapy. His most-cited work, "Experimental Performance Evaluation of Computer Vision for an Upper Limbs Rehabilitation Robot" (2019), demonstrates his core contribution: integrating computer vision systems with electromechanical rehabilitation robots to enhance automated therapy for patients with upper limb impairments. By designing robots that combine actuators, sensors, controllers, and vision-based feedback, Nugraha enables physicians and therapists to conduct repetitive, data-driven rehabilitation more effectively. His research addresses the critical challenge of making robotic therapy both precise and accessible, reducing the manual burden on clinicians while improving patient outcomes. With 3 citations on his seminal paper, Nugraha’s work is gaining traction in the growing field of human-robot interaction for medical applications. His achievements include advancing the practical deployment of vision-guided robotic systems in clinical settings, bridging the gap between experimental robotics and real-world therapeutic use. For students and researchers in rehabilitation engineering, Nugraha’s work offers a compelling model for how computer vision can transform assistive robotics into smarter, more responsive tools for recovery.
Research Focus
Key Achievements
Top Papers
- 1