Yihui Zhao — accepted AI-conference papers

2025

Physics-Embedded Neural Networks for sEMG-based Continuous Motion Estimation

Wending Heng, Chaoyuan Liang, Yihui Zhao, Zhiqiang Zhang, Glen Cooper, Zhenhong Li

IROS 2025

Accurately decoding human motion intentions from surface electromyography (sEMG) is essential for myoelectric control and has wide applications in rehabilitation robotics and assistive technologies. However, existing sEMG-based motion estimation methods often rely on subject-specific musculoskeletal

Cited by 0 Source ↗Scholar ↗

2021

A Direct Collocation method for optimization of EMG-driven wrist muscle musculoskeletal model

Yihui Zhao, Zhenhong Li, Zhiqiang Zhang, Ahmed Asker, Sheng Q. Xie

ICRA 2021poster

EMG-driven musculoskeletal model has been broadly used to detect human intention in rehabilitation robots. This approach computes muscle-tendon force and translates it to the joint kinematics. However, the muscle-tendon parameters of the musculoskeletal model are difficult to measure in vivo and var…

Cited by 5 Source ↗Scholar ↗