Enming Shi

Shenyang Institute of Automation

Papers

4

Total Citations

14

H-Index

2

About

Enming Shi is a rising researcher in the field of soft robotics and human–robot interaction, with a focus on adaptive control systems and biomechatronic assistive technologies. His work centers on overcoming the inherent challenges of shape memory alloy (SMA) actuators—such as hysteresis and nonlinearity—to enable precise, muscle-like motion in robotic systems. Shi has developed novel adaptive control strategies, including nonsingular fast terminal sliding mode control, that significantly improve trajectory tracking and force regulation in SMA-actuated devices. His research extends to practical applications in rehabilitation and medical assistance, including a reconfigurable behavioral assistive robot for lower limb recovery and a thoraco-abdominal biomechanical model with dual-layer control for soft robotic respiratory support. With over a dozen citations across his most recent publications (2024–2025), Shi’s contributions are gaining recognition for their potential to enhance patient safety and dynamic synchronization in human–robot systems. His work represents a meaningful step toward safer, more responsive assistive robots for clinical and home environments.

Research Focus

Key Achievements

2
H-Index
4
Papers
14
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Adaptive control for shape memory alloy actuated systems with applications to human–robot interaction
7 citations · 2024
📈 Most Prolific Year: 2024 (3 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: Shenyang Institute of Automation

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago