Systematic review of intelligent algorithms in gait analysis and prediction for lower limb robotic systems
The rate of development of robotic technologies has been meteoric, as a result of
compounded advancements in hardware and software. Amongst these robotic technologies …
compounded advancements in hardware and software. Amongst these robotic technologies …
Augmented humanity: a systematic map** review
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 …
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 …
(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
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 …
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 …
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 …
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 …
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
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 …
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
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 …
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 …
exoskeleton for human performance augmentation depends heavily on the accuracy of the …