Zhiyu Sheng

University of Pittsburgh

Papers

2

Total Citations

27

H-Index

2

About

Zhiyu Sheng is a researcher at the forefront of rehabilitation robotics and human-machine interaction, with a primary focus on restoring motor function for individuals with neurological impairments. His work uniquely integrates advanced control theory with practical biomedical applications, particularly for those with incomplete spinal cord injuries. Sheng’s major contributions lie in developing sophisticated control strategies for wearable robotic systems and functional electrical stimulation (FES). His most cited work, “Switched control of an N-degree-of-freedom input delayed wearable robotic system” (2021, 24 citations), tackles the critical challenge of time delays in human-robot systems, proposing a robust framework for safe and effective assistance. He further advanced the field by designing novel observers for nonlinear neuromuscular systems with multi-rate sampled and delayed outputs (2019), enabling more accurate real-time monitoring of muscle dynamics during therapy. This work is pivotal for creating closed-loop rehabilitation systems that can adapt to a patient’s voluntary effort. By bridging the gap between theoretical control engineering and clinical rehabilitation, Sheng’s research is laying the groundwork for more intelligent, responsive, and personalized robotic therapies.

Research Focus

Key Achievements

2
H-Index
2
Papers
27
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Switched control of an N-degree-of-freedom input delayed wearable robotic system
24 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Pittsburgh

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago