Jianlin Zheng

Sun Yat-sen University

Papers

2

Total Citations

7

H-Index

2

About

Jianlin Zheng is a pioneering researcher in rehabilitation robotics, with a focus on developing intelligent, compliant systems for upper-limb and ankle therapy. His work centers on two key areas: electromyographic (EMG)-based control interfaces and magnetorheological fluid (MRF) dampers for safer human-robot interaction. In his highly cited 2024 study, Zheng introduced an EMG-based admittance control system using a Gaussian Mixture Model to estimate 3D voluntary forces from arm muscles, enabling natural and continuous motion control for cable-driven rehabilitation robots—a breakthrough that bridges the gap between complex neural signals and robotic assistance. Earlier, his 2020 work on a rotating MRF damper for ankle rehabilitation robots addressed a critical safety issue: the risk of secondary injury from rigid mechanisms. By leveraging MRF’s variable yield stress, Zheng designed a compliant damping system that adapts in real-time to patient needs. With growing citation impact, his contributions are shaping the next generation of adaptive, patient-centered robotic therapy. Zheng’s research not only advances technical frontiers but also promises to make rehabilitation more accessible, intuitive, and safe for individuals recovering from neurological or musculoskeletal injuries.

Research Focus

Key Achievements

2
H-Index
2
Papers
7
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
An Electromyographic‐Based Control Using Gaussian Mixture Model on an Upper‐Limb Cable‐Driven Rehabilitation Robot
4 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Sun Yat-sen University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago