☆ 4.7 Article

Autonomous motion and control of lower limb exoskeleton rehabilitation robot

FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY (2023)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Computer Science, Artificial Intelligence

Rehabilitation robot following motion control algorithm based on human behavior intention

Ming da Miao et al.

Summary: In response to the problem of low intelligence of mobile lower limb motor rehabilitation aids, this paper proposes an intelligent control scheme based on human movement behavior. By designing a multi-sensor data acquisition system and establishing a mathematical model of movement behavior, the rehabilitation robot can follow the patient's movement. The adaptive radial basis function neural network sliding mode controller is designed to improve the control effect and adaptability of the robot.

APPLIED INTELLIGENCE (2023)

添加到收藏夹

Article Automation & Control Systems

Model Identification and Human-robot Coupling Control of Lower Limb Exoskeleton with Biogeography-based Learning Particle Swarm Optimization

Qing Guo et al.

Summary: The study investigated the model parameter identification and control design of lower limb exoskeleton, utilizing the BLPSO algorithm for optimization and parameter identification. The proposed controller improves tracking behavior and reduces human-robot interaction torque.

INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS (2022)

添加到收藏夹

Article Robotics

Lower limb exoskeleton robots' dynamics parameters identification based on improved beetle swarm optimization algorithm

Peng Zhang et al.

Summary: This paper proposes a method for efficient and high-precision identification of dynamic parameters in lower extremity exoskeleton robots using the beetle swarm optimization algorithm. Experimental results demonstrate the effectiveness and accuracy of the proposed method.

ROBOTICA (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Fuzzy Enhanced Adaptive Admittance Control of a Wearable Walking Exoskeleton With Step Trajectory Shaping

Pengbo Huang et al.

Summary: This article investigates step adjustment in a walking exoskeleton system to enhance human mobility. By considering human walking intention and utilizing an admittance model, the proposed method shapes a reference trajectory for the walking exoskeleton robot to follow. Experiments on healthy subjects demonstrate its effectiveness in improving human mobility when applied to walking exoskeletons.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2022)

添加到收藏夹

Article Acoustics

Model-free adaptive iterative learning integral terminal sliding mode control of exoskeleton robots

Babak Esmaeili et al.

Summary: This article addresses the reference tracking issue of multi-degree-of-freedom robotic exoskeletons under exogenous perturbations. It reformulates the dynamics of the exoskeleton robot as a linear data model in an iterative manner and designs a novel data-based model-free adaptive iterative learning control. The efficiency of the developed learning-based control algorithm is clarified through simulation investigation and compared results.

JOURNAL OF VIBRATION AND CONTROL (2022)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

A fuzzy neural network-based fractional-order Lyapunov-based robust control strategy for exoskeleton robots: Application in upper-limb rehabilitation

Amir Razzaghian

Summary: The paper investigates a novel fractional-order Lyapunov-based robust controller based on a fuzzy neural network (FNN) compensator for exoskeleton robotic systems. Finite-time stability of the closed-loop control system is proven, and the proposed control method guarantees finite-time convergence and robustness against uncertainties for exoskeleton robots trajectory tracking. Simulation results confirm the superiority of the proposed control strategy.

MATHEMATICS AND COMPUTERS IN SIMULATION (2022)

添加到收藏夹

Article Automation & Control Systems

Learning-Based Error-Constrained Motion Control for Pneumatic Artificial Muscle-Actuated Exoskeleton Robots With Hardware Experiments

Tong Yang et al.

Summary: This paper introduces a new learning-based motion controller for PAM-actuated exoskeleton robots, aiming to achieve high-precision tracking control and improve safety without additional gain conditions. Through the introduction of novel designs, tracking accuracy can be improved under uncertain conditions, and the issue of excessive acceleration can be avoided by using upper/lower bounds.

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2022)

添加到收藏夹

Review Automation & Control Systems

From sensing to control of lower limb exoskeleton: a systematic review

Yuanxi Sun et al.

Summary: This paper investigates the sensing and control of lower limb exoskeletons, studying the effects of different sensor signals and controller modeling on exoskeleton performance. It also discusses the research challenges of insufficient stability and comfort in exoskeleton control and analyzes possible innovative insights and future research directions.

ANNUAL REVIEWS IN CONTROL (2022)

添加到收藏夹

Article Automation & Control Systems

Adaptive Finite Time Control for Wearable Exoskeletons Based on Ultra-local Model and Radial Basis Function Neural Network

Jianjun Sun et al.

Summary: This paper proposes an adaptive finite time control scheme for wearable exoskeletons to achieve trajectory tracking control. It utilizes a model-free approach, employs specific model and controller design, and validates its effectiveness through simulation.

INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS (2021)

添加到收藏夹

Article Engineering, Mechanical

Control strategy and experimental research of a cable-driven lower limb rehabilitation robot

Yanlin Wang et al.

Summary: This paper addresses the problems of existing limb rehabilitation robots and proposes a CDLR capable of implementing various training modes. Through a compound correction controller, the system's dynamic performance and loading accuracy can be improved.

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE (2021)

添加到收藏夹

Article Engineering, Biomedical

A Hybrid Arm-Hand Rehabilitation Robot With EMG-Based Admittance Controller

Chenglin Xie et al.

Summary: This study developed a novel hybrid arm-hand rehabilitation robot for assisting stroke patients in reach-and-grasp tasks, providing integrated training for arm and hand simultaneously and showing potential for post-stroke rehabilitation training.

IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS (2021)

添加到收藏夹

Article Engineering, Mechanical

Control and Implementation of 2-DOF Lower Limb Exoskeleton Experiment Platform

Zhenlei Chen et al.

Summary: This study introduces a novel algorithm and controllers to enhance the comfort and performance of a lower limb exoskeleton, achieving passive position control and active follow-up control for the exoskeleton.

CHINESE JOURNAL OF MECHANICAL ENGINEERING (2021)

添加到收藏夹

Article Engineering, Biomedical

Voluntary Control of an Ankle Joint Exoskeleton by Able-Bodied Individuals and Stroke Survivors Using EMG-Based Admittance Control Scheme

Yu Zhuang et al.

Summary: The EMG-based admittance control scheme (EACS) improves movement stability and ankle range of motion for stroke survivors. EACS shows lower assistance torque, tracking error, and jerk values compared to the EMG-based open-loop control scheme (EOCS) in both healthy participants and stroke survivors.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2021)

添加到收藏夹

Article Automation & Control Systems

Generalized Control Framework for Exoskeleton Robots by Interaction Force Feedback Control

Ho Ju Lee et al.

Summary: This paper introduces a generalized control framework for exoskeletons, which can standardize exoskeleton controllers into a force feedback control system, facilitating the implementation of conventional approaches and extending them to other objectives. The proposed method is applied to a lower-limb exoskeleton and validated through experiments.

INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS (2021)

添加到收藏夹

Article Robotics

Robust Locomotion Control of a Self-Balancing and Underactuated Bipedal Exoskeleton: Task Prioritization and Feedback Control

Ahmed Fahmy Soliman et al.

Summary: This study presents a robustness analysis of an underactuated bipedal exoskeleton, using an optimization algorithm and task prioritization method to address multiple constraints, ultimately confirming the robustness of the ZMP impedance feedback controller.

IEEE ROBOTICS AND AUTOMATION LETTERS (2021)

添加到收藏夹

Article Automation & Control Systems

Adaptive Neural Network Fast Fractional Sliding Mode Control of a 7-DOF Exoskeleton Robot

Mehran Rahmani et al.

INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS (2020)

添加到收藏夹

Article Engineering, Biomedical

Adaptive Neural Sliding-Mode Controller for Alternative Control Strategies in Lower Limb Rehabilitation

Tao Yang et al.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2020)

添加到收藏夹

Article Automation & Control Systems

A Robotic Gait Training System with Stair-climbing Mode Based on a Unique Exoskeleton Structure with Active Foot Plates

EunKyung Bae et al.

INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS (2020)

添加到收藏夹

Review Computer Science, Information Systems

Recent Progress in Sensing and Computing Techniques for Human Activity Recognition and Motion Analysis

Zhaozong Meng et al.

ELECTRONICS (2020)

添加到收藏夹

Editorial Material Oncology

Prevention and treatment of strokes associated with carotid artery stenosis: a research priority

Kosmas I. Paraskevas

ANNALS OF TRANSLATIONAL MEDICINE (2020)

添加到收藏夹

Article Mathematics

Adaptive Particle Swarm Optimization of PID Gain Tuning for Lower-Limb Human Exoskeleton in Virtual Environment

Mohammad Soleimani Amiri et al.

MATHEMATICS (2020)

添加到收藏夹

Editorial Material Medicine, General & Internal

Guidelines for Adult Stroke Rehabilitation and Recovery

Michelle Gittler et al.

JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2018)

添加到收藏夹

Article Automation & Control Systems

Development of an RBFN-based neural-fuzzy adaptive control strategy for an upper limb rehabilitation exoskeleton

Wu Qingcong et al.

MECHATRONICS (2018)

添加到收藏夹

Review Clinical Neurology

Robotics in Lower-Limb Rehabilitation after Stroke

Xue Zhang et al.

BEHAVIOURAL NEUROLOGY (2017)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.