Yuchen Yan

North China University of Technology

Papers

1

Total Citations

64

H-Index

1

About

Yuchen Yan is an emerging researcher specializing in human-robot interaction, rehabilitation robotics, and control systems engineering. Their work sits at the critical intersection of biomedical engineering and intelligent robotics, with a particular focus on advancing assistive technologies for individuals requiring physical rehabilitation. Yan's most notable contribution, published in 2024, introduces a novel adaptive torque estimation method for lower limb rehabilitation robots — a breakthrough that addresses longstanding challenges posed by model inaccuracies and sensor errors in capturing human-robot interactive information. This work has rapidly accumulated 64 citations, a remarkable achievement for such a recent publication, underscoring its immediate relevance and impact within the robotics and rehabilitation engineering communities. By developing an estimation framework that delivers both high accuracy and strong real-time tracking capability, Yan has meaningfully advanced the field's ability to design safer, more responsive rehabilitation systems that can adapt to individual patient needs. This research holds significant promise for improving therapeutic outcomes in clinical settings and represents a compelling step toward more intelligent, patient-centered assistive robotic platforms. Yan's trajectory positions them as a rising voice in next-generation rehabilitation technology development.

Research Focus

Key Achievements

1
H-Index
1
Papers
64
Total Citations
64
Avg Citations/Paper
🏆 Most Cited Paper
Adaptive Human–Robot Interaction Torque Estimation With High Accuracy and Strong Tracking Ability for a Lower Limb Rehabilitation Robot
64 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: North China University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago