Papers

3

Total Citations

65

H-Index

3

About

Pavel Bobrov is a leading researcher at the intersection of neurorehabilitation, brain-computer interfaces (BCIs), and robotics. His primary focus is on restoring motor function in patients with severe neurological injuries, particularly those recovering from stroke. Bobrov’s most impactful work, his 2017 paper on motor recovery using a hand exoskeleton controlled by a motor imagery-based BCI (34 citations), demonstrates his core contribution: developing closed-loop systems that translate a patient’s neural intent into physical movement. This multidisciplinary approach integrates neurology, neurophysiology, and physics to create a promising new rehabilitation paradigm. His 2018 work further explores the use of robotic devices in post-stroke therapy (21 citations), solidifying his expertise in assistive technology. Beyond clinical applications, Bobrov has contributed to the foundational technology of multi-agent robotics, as seen in his 2012 paper on scientific-educational distributed laboratories (10 citations), which addresses the challenge of coordinating multiple robots as a single, intelligent unit. Through this blend of neural engineering and robotics, Bobrov is advancing practical, technology-driven solutions for restoring mobility and independence.

Research Focus

Key Achievements

3
H-Index
3
Papers
65
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
PRINCIPLES OF MOTOR RECOVERY IN POST-STROKE PATIENTS USING HAND EXOSKELETON CONTROLLED BY THE BRAIN-COMPUTER INTERFACE BASED ON MOTOR IMAGERY
34 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: VSB - Technical University of Ostrava, Pirogov Russian National Research Medical University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago