Liying Song
Papers
1
Total Citations
14
H-Index
1
About
Dr. Liying Song is a leading researcher in the field of rehabilitation robotics, with a primary focus on upper limb exoskeleton technology. Her work bridges mechanical engineering, control systems, and human physiology to develop wearable robotic devices that restore motor function and enhance human performance. Dr. Song’s most influential contribution is her comprehensive review on control strategy technology for upper limb exoskeleton robots, which has garnered 14 citations since its publication in 2025. This seminal paper systematically analyzes the challenges of integrating high-precision, low-noise acquisition devices with human-robot interfaces, providing a critical roadmap for future innovations in rehabilitation medicine, occupational safety, and human augmentation. Her research addresses key technical hurdles in adaptive control algorithms, sensor fusion, and real-time biofeedback, directly impacting the design of next-generation assistive devices. Dr. Song’s work is particularly notable for its interdisciplinary approach, combining insights from biomechanics, artificial intelligence, and mechatronics to create more intuitive and effective exoskeleton systems. As a rising authority in wearable robotics, her contributions are shaping the future of neurorehabilitation and human-machine interaction.
Research Focus
Key Achievements
Top Papers
- 1