Meitong Zhang
Papers
1
Total Citations
2
H-Index
1
About
Meitong Zhang is a rising researcher in the field of rehabilitation robotics, with a primary focus on adaptive control systems for lower limb exoskeletons. Their most cited work, "Adaptive position tracking control of the lower limb exoskeleton robot with an uncertain dynamic model" (2023), introduces a novel PD-FF-SM control framework that integrates proportional-derivative control, radial basis function neural network-based sliding mode control, and feedforward control. This approach addresses critical challenges in exoskeleton technology, including dynamic uncertainties, external disturbances, and slow system response. By combining these control strategies, Zhang's work enhances the precision and robustness of position tracking in assistive devices, directly improving the safety and effectiveness of robotic rehabilitation for individuals with mobility impairments. Although early in their career with 2 citations to date, this foundational paper demonstrates significant potential for impact in the growing field of human-robot interaction and assistive robotics. Zhang's contributions are particularly relevant for researchers developing intelligent, adaptive exoskeletons that can adapt to varying user conditions and environmental disturbances, paving the way for more responsive and reliable rehabilitation technologies.
Research Focus
Key Achievements
Top Papers
- 1