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.
Papers
An adaptive closed-loop ECoG decoder for long-term and stable bimanual control of an exoskeleton by a tetraplegic
Alexandre Moly, Thomas Costecalde, Felix Martel, Christelle Larzabal, Serpil Karakas, Alexandre Verney, Guillaume Charvet, Stephan Chabardes, Alim Louis Benabid, Tetiana Aksenova
The development of a portable elbow exoskeleton with a Twisted Strings Actuator to assist patients with upper limb inhabitation
Rupal Roy, MM Rashid, Md Manjurul Ahsan, Zahed Siddique