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
Advancements in Upper Body Exoskeleton: Implementing Active Gravity Compensation with a Feedforward Controller
Muhammad Ayaz Hussain, Ioannis Iossifidis
Intelligent upper-limb exoskeleton integrated with soft wearable bioelectronics and deep-learning for human intention-driven strength augmentation based on sensory feedback
Jinwoo Lee, Kangkyu Kwon, Ira Soltis, Jared Matthews, Yoonjae Lee, Hojoong Kim, Lissette Romero, Nathan Zavanelli, Youngjin Kwon, Shinjae Kwon, Jimin Lee, Yewon Na, Sung Hoon Lee, Ki Jun Yu, Minoru Shinohara, Frank L. Hammond, Woon-Hong Yeo