Yanrong Chen
Papers
1
Total Citations
153
H-Index
1
About
Yanrong Chen is a leading researcher in the field of wearable robotics and human-robot interaction, with a primary focus on the control and estimation of lower-limb exoskeletons. Her most influential work centers on developing real-time gait phase estimation algorithms for robotic hip exoskeletons, enabling seamless and adaptive assistance during multimodal locomotion—such as walking, running, and stair climbing. Her 2021 paper on this topic has garnered over 150 citations, underscoring its impact on the field. Chen’s major contribution lies in advancing gait phase as a robust control framework, which allows exoskeletons to apply appropriate torque at the right moment in the gait cycle, improving user comfort and safety. This work is foundational for the next generation of assistive devices designed for rehabilitation and mobility augmentation. Her research bridges biomechanics, control theory, and mechatronics, and she is recognized for translating complex sensor data into practical, real-time control strategies. Chen’s achievements position her as a key innovator in making exoskeleton technology more intuitive and effective for real-world use.
Research Focus
Key Achievements
Top Papers
- 1