Papers
3
Total Citations
30
H-Index
3
About
Gleb Koginov is a rising leader in rehabilitation robotics and human–robot interaction, whose work focuses on restoring mobility for individuals with paralysis and enhancing wearable robot performance in real-world conditions. His most-cited paper, "Augmenting rehabilitation robotics with spinal cord neuromodulation: A proof of concept" (2025, 13 citations), introduces a groundbreaking approach that combines robotic therapy with spinal cord stimulation to overcome the critical barrier of insufficient neural activity during rehabilitation—enabling activity-dependent reorganization even in paralyzed individuals. In "Human-in-the-Loop Personalization of a Bi-Articular Wearable Robot’s Assistance for Downhill Walking" (2023, 12 citations), Koginov advances the personalization of exoskeleton assistance beyond level ground, addressing the practical demands of daily activities like downhill walking. His work "An algorithm to reduce human–robot interface compliance errors in posture estimation in wearable robots" (2022, 5 citations) tackles a fundamental engineering challenge—improving posture estimation accuracy despite interface compliance, which is essential for safe and effective control. Koginov’s research bridges neurostimulation and robotics, offering novel solutions that could transform rehabilitation outcomes and accelerate the adoption of wearable robots in everyday life.
Research Focus
Key Achievements
Top Papers
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