author keywords: Robust walking control; Human-exoskeleton interactions; Muscular disorders; Deep reinforcement learning

MeSH headings : Humans; Exoskeleton Device; Walking / physiology; Lower Extremity / physiology; Gait / physiology; Biomechanical Phenomena / physiology

TL;DR: A novel, deep neural network, reinforcement learning-based robust controller for a LLRE based on a decoupled offline human-exoskeleton simulation training with three independent networks is presented, which is shown to be able to handle different patient conditions without the need for patient-specific control parameter tuning. (via Semantic Scholar)