Fengling Ma
Papers
1
Total Citations
2
H-Index
1
About
Fengling Ma is a leading researcher in rehabilitation robotics and human-robot interaction, with a primary focus on intelligent motion intent recognition for lower limb rehabilitation systems. Her most cited work, "Motion Intent Recognition Algorithm for Lower Limb Rehabilitation Robots Based on Dual-Physics Sensor Feature Fusion" (2024), addresses a critical challenge in assistive robotics: accurately decoding a user’s intended movement to enable seamless, responsive robotic support. By pioneering a dual-physics sensor fusion approach—integrating complementary sensor modalities—Ma’s algorithm significantly enhances the precision and reliability of motion prediction, overcoming limitations of traditional single-sensor systems. This contribution is vital for developing safer, more intuitive rehabilitation robots that adapt in real-time to patients’ voluntary efforts, thereby improving therapeutic outcomes. With 2 citations already in its publication year, this work is gaining traction among engineers and clinicians. Ma’s research bridges sensor technology, machine learning, and biomechanics, offering practical solutions for stroke and spinal cord injury rehabilitation. Her achievements underscore a commitment to advancing human-centered robotics, making her a notable figure in the field of assistive technology.
Research Focus
Key Achievements
Top Papers
- 1