Guangpu Huang
Papers
1
Total Citations
7
H-Index
1
About
Guangpu Huang is a rising researcher in rehabilitation robotics and nonlinear control systems, with a focus on advancing assistive technologies for individuals with motor impairments. His primary research areas include adaptive control, fractional-order dynamics, and sliding mode control, particularly applied to lower-limb exoskeletons for gait rehabilitation. Huang’s most notable contribution is the development of a discrete adaptive fractional-order fast terminal sliding mode control approach, designed to achieve high-precision human gait tracking for rehabilitation exoskeletons. This work, published in 2023 and already garnering 7 citations, addresses a critical challenge in hemiplegic patient therapy: ensuring accurate, stable, and safe trajectory tracking during robotic-assisted walking. By integrating fractional-order calculus with adaptive mechanisms, Huang’s approach enhances robustness against system uncertainties and external disturbances, marking a significant step forward in real-time control for wearable robotics. His research bridges theoretical control engineering and practical clinical applications, offering promising pathways for personalized rehabilitation. As his work gains traction, Huang is establishing himself as a key contributor to the next generation of intelligent, patient-responsive exoskeleton systems.
Research Focus
Key Achievements
Top Papers
- 1