Robust walking control of a lower limb rehabilitation exoskeleton coupled with a musculoskeletal model via deep reinforcement learning

S Luo, G Androwis, S Adamovich, E Nunez… - … of neuroengineering and …, 2023 - Springer
Background Few studies have systematically investigated robust controllers for lower limb
rehabilitation exoskeletons (LLREs) that can safely and effectively assist users with a variety …

Reinforcement learning and control of a lower extremity exoskeleton for squat assistance

S Luo, G Androwis, S Adamovich, H Su… - Frontiers in Robotics …, 2021 - frontiersin.org
A significant challenge for the control of a robotic lower extremity rehabilitation exoskeleton
is to ensure stability and robustness during programmed tasks or motions, which is crucial …

A novel user control for lower extremity rehabilitation exoskeletons

KK Karunakaran, K Abbruzzese, G Androwis… - Frontiers in Robotics …, 2020 - frontiersin.org
Lower extremity exoskeletons offer the potential to restore ambulation to individuals with
paraplegia due to spinal cord injury. However, they often rely on preprogrammed gait …

Current Research Status of Active-Assist Lower Limb Rehabilitation Exoskeleton Robots

G Yifeng, D Kai, H Limin, H Min, Z Min - zggx, 2024 - jxcd.net.cn
It is crucial to develop active assistant lower limb rehabilitation exoskeleton robots in light of
the current situation of population aging and the sharp rise in the number of people with …

[PDF][PDF] Robust Neural Network Controllers for Lower Limb Exoskeletons: A Deep Reinforcement Learning Approach

X Zhou, S Luo, G Androwis, S Adamovich, E Nunez… - haosu-robotics.github.io
In this study, we introduce a novel deep reinforcement learning (DRL) based approach for
controlling lower limb rehabilitation exoskeletons (LLREs). Our method employs a neural …