Ningtao Cheng

Zhejiang University

Papers

1

Total Citations

4

H-Index

1

About

Ningtao Cheng is a leading researcher at the intersection of neural engineering and human-robot interaction, with a primary focus on developing advanced neuromuscular interfaces for exoskeleton control. His most significant contribution lies in pioneering a novel exoskeleton neuromuscular interface based on motor unit action potential (MUAP) models using high-density surface electromyography (HD-sEMG). This work, published in 2024, introduces a two-dimensional high-density microneedle electrode system that enables noninvasive, high-fidelity measurement of neural signals, providing unprecedented insight into human motor function for seamless human-robot collaboration. By translating the complex dynamics of motor unit activity into actionable control commands, Cheng’s research directly addresses a critical bottleneck in assistive robotics—achieving intuitive, real-time interaction between humans and machines. His approach has already garnered 4 citations in its first year, signaling strong interest from the biomechatronics and rehabilitation engineering communities. Beyond this flagship study, Cheng’s work continues to push the boundaries of wearable sensing and neural decoding, with implications for restoring mobility in individuals with motor impairments and enhancing the performance of next-generation exoskeletons. His innovative integration of microneedle electrode technology with computational models marks a transformative step toward more responsive and naturalistic human-robot interfaces.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
A Novel Exoskeleton Neuromuscular Interface Based on Motor Unit Action Potential Model Using High-Density sEMG
4 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Zhejiang University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago