Yunfei Guo

Virginia Tech, D-Tech (United States)

Papers

6

Total Citations

71

H-Index

5

About

Yunfei Guo is a leading researcher in the field of rehabilitation robotics, with a primary focus on developing advanced assistive technologies for individuals with brachial plexus injuries. His work centers on the design, control, and experimental evaluation of novel robotic exoskeleton gloves that restore lost grasping functionality. Guo’s major contributions include the creation of portable, lightweight glove systems integrated with series elastic actuators (SEAs) to mimic natural muscle dynamics, as well as the development of personalized human-machine interfaces such as voice-activated controls and speaker verification systems for enhanced usability and security. His most cited paper, "Design, Control, and Experimental Evaluation of a Novel Robotic Glove System for Patients With Brachial Plexus Injuries" (2022), has garnered 31 citations, reflecting its impact on the field. Guo has also pioneered the use of reinforcement learning for control optimization and data-driven calibration of compact actuators, achieving notable improvements in system performance. With over 70 total citations across his key publications, his work is widely recognized for bridging the gap between theoretical robotics and practical, patient-centered solutions.

Research Focus

Key Achievements

5
H-Index
6
Papers
71
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Design, Control, and Experimental Evaluation of a Novel Robotic Glove System for Patients With Brachial Plexus Injuries
31 citations · 2022
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Virginia Tech, D-Tech (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago