Yihan Wang
Papers
1
Total Citations
40
H-Index
1
About
Yihan Wang is a leading researcher in rehabilitation robotics, with a primary focus on soft exoskeletons and adaptive control strategies for upper limb recovery. Their most-cited work, "Multi-Sensor Fusion-Based Mirror Adaptive Assist-as-Needed Control Strategy of a Soft Exoskeleton for Upper Limb Rehabilitation" (2022, 40 citations), addresses a critical challenge in post-stroke therapy: providing personalized, adaptive assistance that encourages active patient participation. Wang’s key contribution lies in developing a mirror adaptive assist-as-needed (AAN) control framework that integrates multi-sensor fusion to dynamically adjust support based on each patient’s unique impairment and recovery stage. This innovation moves beyond one-size-fits-all rehabilitation, enabling customized assistance that promotes motor function recovery while preventing patient passivity. By bridging sensor technology, soft robotics, and human-centered control, Wang’s work has significant implications for clinical rehabilitation, offering a pathway to more effective, patient-specific therapy. Their research continues to advance the field of assistive robotics, with potential to transform post-stroke care and improve quality of life for survivors worldwide.
Research Focus
Key Achievements
Top Papers
- 1