Geng Chen

Peking University

Papers

3

Total Citations

36

H-Index

3

About

Geng Chen is a leading researcher in rehabilitation robotics, with a primary focus on developing safe and effective robotic systems for post-stroke motor recovery. His work centers on the design and control of robotic ankle-foot rehabilitation platforms, addressing critical challenges in human-robot interaction for clinical therapy. Chen’s major contributions include the introduction of proxy-based sliding mode control, a novel approach that guarantees slow, overdamped motions without overshoot—a key safety requirement for treating joint spasticity and contracture in stroke survivors. His 2016 paper on this topic has garnered 28 citations, reflecting its influence in the field. Additionally, Chen pioneered a therapist-joined hybrid control method that combines zero-torque control with proxy-based sliding mode to enhance system safety during rehabilitation. His 2017 work on range-of-motion measurement using therapist-joined techniques further demonstrates his commitment to integrating clinical expertise with robotic precision. With a total of 36 citations across his most-cited works, Chen’s research is shaping the next generation of compliant, patient-safe rehabilitation robots, bridging the gap between engineering innovation and therapeutic practice.

Research Focus

Key Achievements

3
H-Index
3
Papers
36
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Proxy-based sliding mode control of a robotic ankle-foot system for post-stroke rehabilitation
28 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Peking University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago