Victor Ferman
Papers
3
Total Citations
10
H-Index
2
About
Victor Ferman is a robotics researcher whose work bridges rehabilitation engineering, human-robot interaction, and autonomous navigation. His key research areas include assistive robotics for stroke and spinal cord injury recovery, telepresence systems, and robust localization for mobile robots. Ferman’s most cited work, “A Hybrid Control Strategy for Tendon-actuated Robotic Glove and Functional Electrical Stimulation” (2019, 6 citations), proposes a novel approach to hand rehabilitation by combining a soft robotic glove with electrical stimulation—offering an alternative to exhaustive physical therapy that could significantly improve quality of life for patients with upper limb impairments. In “A Motion Mapping System for Humanoids that Provides Immersive Telepresence Experiences” (2020, 2 citations), he developed a low-cost, IMU-based motion capture system paired with a 3D-printed humanoid robot and binaural audio, advancing accessible telepresence technology. His work “LMI Methods for Extended ℋ∞ Filters for Landmark-based Mobile Robot Localization” (2021, 2 citations) addresses robustness challenges in autonomous navigation under uncertainty. Though early in his career, Ferman’s contributions demonstrate a commitment to practical, human-centered robotics—from aiding recovery to enabling remote presence—with potential for lasting impact in both clinical and field applications.
Research Focus
Key Achievements
Top Papers
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