Yuri Gloumakov

Yale University, University of California, Berkeley

Papers

9

Total Citations

73

H-Index

5

About

Yuri Gloumakov’s research lies at the intersection of human motor control, assistive robotics, and rehabilitation engineering, with a focus on restoring hand and arm function for individuals with spinal cord injury (SCI). His major contributions include pioneering dimensionality-reduction and clustering techniques to categorize naturalistic, multi-degree-of-freedom arm movements during activities of daily living—work that has garnered over 20 citations and provides a foundational framework for designing more intuitive prosthetic and orthotic controllers. Gloumakov has also advanced assistive technology for people with C5–C7 SCI, developing the Tenodesis Grasp Emulator to quantify kinematic compensations in wrist-driven orthotics and exploring supernumerary grasping to expand functional workspace. His recent work on slip control using programmable tactile sensing and variable-transmission body-powered prosthetics demonstrates a commitment to practical, real-world solutions. With a growing citation record and publications in high-impact venues, Gloumakov is shaping how we understand and augment human movement after injury.

Research Focus

Key Achievements

5
H-Index
9
Papers
73
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Dimensionality Reduction and Motion Clustering During Activities of Daily Living: Three-, Four-, and Seven-Degree-of-Freedom Arm Movements
20 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Yale University, University of California, Berkeley

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago