Jieying He
Papers
1
Total Citations
12
H-Index
1
About
Jieying He’s research lies at the intersection of rehabilitation robotics and human–robot interaction, with a focus on developing intelligent, adaptive systems for neurorehabilitation. Her most cited work, “Customizing Robot‐Assisted Passive Neurorehabilitation Exercise Based on Teaching Training Mechanism” (2021, 12 citations), addresses a critical gap in stroke recovery: the need for personalized passive movement therapy for early-stage or severely paralyzed patients. He proposes a novel framework that enables upper-extremity robots to learn from therapists’ manual guidance, effectively “teaching” the robot to replicate customized, patient-specific exercises. This approach moves beyond one-size-fits-all protocols, allowing for real-time adaptation to individual patient needs and improving therapeutic outcomes. By integrating teaching–training mechanisms into robotic assistance, He’s work bridges clinical expertise with automation, offering a scalable solution for rehabilitation clinics. Her contributions are particularly impactful for stroke survivors who cannot actively participate in therapy, ensuring they still receive tailored, high-quality care. With a growing citation record, He is establishing herself as a key voice in the field of assistive robotics, where her innovations promise to make robot-assisted therapy more intuitive, effective, and widely accessible.
Research Focus
Key Achievements
Top Papers
- 1