Upper Limb Exoskeleton

Upper limb exoskeletons are robotic devices designed to assist or rehabilitate arm and hand movement, primarily focusing on restoring function after stroke or injury. Current research emphasizes developing more personalized and adaptable control systems, employing techniques like deep reinforcement learning (e.g., PPO with LSTM networks), adaptive impedance control, and fuzzy logic to optimize human-robot interaction and minimize unwanted forces. This work aims to improve the effectiveness and safety of exoskeletons, leading to more efficient rehabilitation therapies and potentially enhancing human capabilities in various applications. Standardized testing methodologies are also under development to ensure reliable evaluation and comparison of different exoskeleton designs.

Papers