Yihao Du
Papers
6
Total Citations
54
H-Index
4
About
Yihao Du is a robotics and biomedical engineering researcher whose work sits at the intersection of rehabilitation robotics, human-robot interaction, and intelligent control systems. His research focuses primarily on developing adaptive control frameworks for lower limb rehabilitation robots, with a particular emphasis on leveraging surface electromyography (sEMG) signals to create more responsive and patient-centered therapeutic devices. His most influential contribution, "An Advanced Adaptive Control of Lower Limb Rehabilitation Robot" (2018), has garnered 31 citations and addresses critical limitations in existing human-robot interaction paradigms, proposing novel control strategies that enhance both safety and rehabilitation efficacy. Complementing this, his 2016 work on EMG-based adaptive trajectory planning demonstrated innovative approaches to personalizing rehabilitation training modes for stroke patients. Beyond rehabilitation, Du has made notable contributions to biped robotics, applying dynamic fuzzy neural networks and radial basis function networks to solve complex system identification challenges in hybrid dynamical systems. His early work on non-stationary sEMG signal decomposition using latent process models further underscores his signal processing expertise. Collectively, Du's research advances the development of smarter, more intuitive rehabilitation and locomotion technologies with meaningful clinical implications.
Research Focus
Key Achievements
Top Papers
- 1An Advanced Adaptive Control of Lower Limb Rehabilitation Robot31 citations · 2018
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- 5Continuous Prediction of Joint Angle of Lower Limbs from sEMG Signals2 citations · 2017
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