Overview
Structural and parametric synthesis of a lower limb exoskeleton mechanism with real-time deep learning-based control utilizing biomechanical signals. Published 4 journal and conference papers and 2 manuscripts.
Key Achievements
- Multi-criteria optimized design achieving efficiency, cost-effectiveness, and anatomical fit
- Trajectory accuracy improved 76% over a leading design
- Optimized force transmission and maximum step height of 1.018 m
- Real-time deep learning control utilizing biomechanical signals