About

Zefeng Yan is a robotics researcher whose work spans two interconnected domains: wearable rehabilitation robotics and amphibious robotic systems. His most significant contributions lie in the development of lower limb exoskeleton robots designed to assist paraplegic patients and elderly individuals with mobility impairments. Yan's research has advanced exoskeleton technology through innovative control strategies, including real-time sEMG-based active control (16 citations), EEG-driven brain-computer interfaces, and online dynamic gait generation models that adapt to users' motion intentions in complex environments. His 2018 work on bionic mechanical design and stair navigation gait planning laid foundational groundwork for practical, wearable assistive devices, while complementary studies explored 3D point cloud-based stair reconstruction for autonomous navigation support. Beyond rehabilitation engineering, Yan has made notable contributions to amphibious robotics, with his 2022 study on bionic fairing drag reduction for tracked amphibious robots becoming his most cited work (27 citations), alongside recent innovations in variable wheel-propeller integrated mechanisms. Collectively, his portfolio of over 80 citations reflects a researcher committed to bridging biomechanics, human-robot interaction, and intelligent control to produce practical robotic solutions with real-world humanitarian impact.

Research Focus

Key Achievements

6
H-Index
11
Papers
86
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Study on a tracked amphibious robot bionic fairing for drag reduction
27 citations · 2022
📈 Most Prolific Year: 2019 (5 Papers)
🤝 Key Collaborators: 28
🏛 Institutions: Huazhong University of Science and Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago