Systematic review of intelligent algorithms in gait analysis and prediction for lower limb robotic systems

R Kolaghassi, MK Al-Hares, K Sirlantzis - IEEE Access, 2021 - ieeexplore.ieee.org
The rate of development of robotic technologies has been meteoric, as a result of
compounded advancements in hardware and software. Amongst these robotic technologies …

Augmented humanity: a systematic map** review

G Guerrero, FJM da Silva, A Fernández-Caballero… - Sensors, 2022 - mdpi.com
Augmented humanity (AH) is a term that has been mentioned in several research papers.
However, these papers differ in their definitions of AH. The number of publications dealing …

Human lower limb motion intention recognition for exoskeletons: A review

LL Li, GZ Cao, HJ Liang, YP Zhang… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Human motion intention (HMI) has increasingly gained concerns in lower limb exoskeletons
(LLEs). HMI recognition (HMIR) is the precondition for realizing active compliance control in …

Performance of deep learning models in forecasting gait trajectories of children with neurological disorders

R Kolaghassi, MK Al-Hares, G Marcelli, K Sirlantzis - Sensors, 2022 - mdpi.com
Forecasted gait trajectories of children could be used as feedforward input to control lower
limb robotic devices, such as exoskeletons and actuated orthotic devices (eg, Powered …

End-to-end high-level control of lower-limb exoskeleton for human performance augmentation based on deep reinforcement learning

R Zheng, Z Yu, H Liu, J Chen, Z Zhao, L Jia - IEEE Access, 2023 - ieeexplore.ieee.org
This paper proposes a novel end-to-end controller for the lower-limb exoskeleton for human
performance augmentation (LEHPA) systems based on deep reinforcement learning …

Sensitivity adaptation of lower-limb exoskeleton for human performance augmentation based on deep reinforcement learning

R Zheng, Z Yu, H Liu, Z Zhao, J Chen, L Jia - IEEE Access, 2023 - ieeexplore.ieee.org
The lower-limb exoskeleton for human performance augmentation (LEHPA) in sensitivity
amplification control (SAC) is vulnerable to model parameter uncertainties and unmodeled …

Model-free based adaptive RBF neural network control for a rehabilitation exoskeleton

Y Chen, J Liu, H Wang, Z Pan… - 2019 Chinese Control And …, 2019 - ieeexplore.ieee.org
This paper introduces a new control strategy for a lower limb exoskeleton used for gait
rehabilitation. Rehabilitation exoskeleton can assist patients suffering from stroke or spinal …

Fusion of musculoskeletal and dynamic models to estimate knee joint impedance for exoskeleton control

K Ando, M Hirokawa, K Suzuki - 2023 IEEE/SICE International …, 2023 - ieeexplore.ieee.org
Joint impedance control is crucial for human gait and balance. To achieve appropriate
assistance to human movement from an exoskeleton, the impedance of the assisted joint …

[PDF][PDF] Walking pattern generators of biped robots using a linear pendulum model with compensated ZMP

HFN Al-Shuka, B Corves, B Vanderborght, WH Zhu - 2019 - hal.science
This report addresses three issues of motion planning for zero-moment point (ZMP)-based
biped robots. First, three methods have been compared for smooth transition of biped …

Adaptive Sensitivity Amplification Control of Lower Limb Exoskeletons for Human Performance Augmentation Based on Deep Reinforcement Learning

R Zheng, Z Yu, H Liu, X Zhu, Z Zhao, J Chen… - Available at SSRN … - papers.ssrn.com
The control effect of the sensitivity amplification control (SAC) strategy on the lower limb
exoskeleton for human performance augmentation depends heavily on the accuracy of the …