Menglin Cao
Papers
1
Total Citations
28
H-Index
1
About
Dr. Menglin Cao is a leading researcher in the field of rehabilitation robotics and human–machine interaction, with a primary focus on wearable exoskeleton systems and biosignal processing. Their most notable contribution is the development of a tightly coupled convolutional transformer model for sEMG-based, end-to-end continuous prediction of human knee joint angles. This work, published in 2023 and already garnering 28 citations, directly addresses a critical bottleneck in assistive robotics: the complexity of traditional feature extraction from surface electromyography (sEMG) signals. By enabling seamless, real-time control of exoskeletons, Dr. Cao’s research promises to significantly enhance rehabilitation outcomes for patients with physical dysfunction. Their innovative approach bridges deep learning and biomechanics, offering a more intuitive human–computer interface. With a growing citation record and a focus on translating computational models into practical clinical tools, Dr. Cao is establishing themselves as a key contributor to next-generation wearable robotic technologies.
Research Focus
Key Achievements
Top Papers
- 1