Zhuqing Yu
Papers
1
Total Citations
16
H-Index
1
About
Zhuqing Yu is a leading researcher in rehabilitation robotics, with a primary focus on developing safe, patient-centered control systems for robot-aided neurorehabilitation. Her most-cited work, "Patient-Centered Robot-Aided Passive Neurorehabilitation Exercise Based on Safety-Motion Decision-Making Mechanism" (2017, 16 citations), addresses a critical gap in stroke rehabilitation: the need for adaptive safety mechanisms that prioritize patient well-being over rigid position control. Yu’s major contribution lies in proposing a novel safety-motion decision-making framework that actively incorporates patient responses into the control loop, moving beyond traditional position-based strategies that exclude the patient. This work has established a foundation for more responsive and secure passive rehabilitation exercises, directly impacting the design of intelligent assistive robots. By integrating real-time safety decisions with patient-centered interaction, Yu’s research enhances both the efficacy and trustworthiness of robotic therapy, making her a notable figure in the intersection of human-robot interaction and clinical rehabilitation engineering.
Research Focus
Key Achievements
Top Papers
- 1