Exoskeleton Technology

Exoskeleton technology aims to augment human capabilities and assist individuals with motor impairments through wearable robotic systems. Current research emphasizes improving human-exoskeleton interaction, focusing on minimizing undesired forces through advanced modeling and control strategies, including impedance control, deep reinforcement learning (e.g., PPO with LSTM networks), and optimization algorithms (e.g., genetic algorithms, Big Bang-Big Crunch). These advancements are significant for rehabilitation, industrial applications, and exploration, offering potential for improved safety, efficiency, and quality of life.