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机器人化复合材料自动铺层技术综述 期刊论文
自动化学报, 2024, 卷号: 50, 期号: 5, 页码: 873-897
作者:  郭鹏;  杨辰光;  李祥利;  章艺;  李淼
Adobe PDF(14269Kb)  |  收藏  |  浏览/下载：14/6  |  提交时间：2024/05/30
碳纤维增强复合材料  机械臂控制  末端设计  自动铺层  
A neural network based framework for variable impedance skills learning from demonstrations 期刊论文
ROBOTICS AND AUTONOMOUS SYSTEMS, 2023, 卷号: 160, 页码: 10
作者:  Zhang, Yu;  Cheng, Long;  Cao, Ran;  Li, Houcheng;  Yang, Chenguang
Adobe PDF(3824Kb)  |  收藏  |  浏览/下载：350/65  |  提交时间：2023/02/22
Variable impedance skill  Learning from demonstrations  Skills learning  Human-robot interaction  
Quantitative Assessment of Hand Motor Function for Post-Stroke Rehabilitation Based on HAGCN and Multimodality Fusion 期刊论文
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2022, 卷号: 30, 页码: 2032-2041
作者:  Li, Chenguang;  Yang, Hongjun;  Cheng, Long;  Huang, Fubiao;  Zhao, Shuang;  Li, Dongyue;  Yan, Ruxiu
Adobe PDF(3198Kb)  |  收藏  |  浏览/下载：386/46  |  提交时间：2022/09/19
Hemorrhaging  Thumb  Stroke (medical condition)  Kinematics  Feature extraction  Wrist  Correlation  Hand motor function  quantitative assessment  multi-modality fusion  graph convolutional network  
Force Sensorless Admittance Control for Teleoperation of Uncertain Robot Manipulator Using Neural Networks 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 5, 页码: 3282-3292
作者:  Yang, Chenguang;  Peng, Guangzhu;  Cheng, Long;  Na, Jing;  Li, Zhijun
收藏  |  浏览/下载：265/0  |  提交时间：2021/05/31
Robot sensing systems  Force  Robot kinematics  Artificial neural networks  Admittance  Torque  Admittance control  error transformation  force observer  Kinect  neural adaptive control  neural networks (NNs)  robot  
Asymmetric Bounded Neural Control for an Uncertain Robot by State Feedback and Output Feedback 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 3, 页码: 1735-1746
作者:  Kong, Linghuan;  He, Wei;  Dong, Yiting;  Cheng, Long;  Yang, Chenguang;  Li, Zhijun
收藏  |  浏览/下载：195/0  |  提交时间：2021/03/29
Neural networks  Adaptive systems  Nonlinear systems  Manipulator dynamics  Uncertainty  adaptive control  asymmetrically bounded inputs  neural networks  robotic manipulator  
Fugl-Meyer hand motor imagination recognition for brain-computer interfaces using only fNIRS 期刊论文
COMPLEX & INTELLIGENT SYSTEMS, 2021, 页码: 11
作者:  Li, Chenguang;  Yang, Hongjun;  Cheng, Long
Adobe PDF(1767Kb)  |  收藏  |  浏览/下载：255/43  |  提交时间：2021/03/01
Brain-computer interface  Functional near-infrared spectroscopy (fNIRS)  Motor imagery  Classification  Empirical mode decomposition  
An Automatic Rehabilitation Assessment System for Hand Function Based on Leap Motion and Ensemble Learning 期刊论文
CYBERNETICS AND SYSTEMS, 2020, 页码: 23
作者:  Li, Chenguang;  Cheng, Long;  Yang, Hongjun;  Zou, Yongxiang;  Huang, Fubiao
Adobe PDF(2555Kb)  |  收藏  |  浏览/下载：287/40  |  提交时间：2021/01/07
Automatic assessment  Brunnstrom assessment  ensemble learning  Fugl-Meyer assessment  hand function assessment  rehabilitation  Leap Motion  
Finite-Time Convergence Adaptive Fuzzy Control for Dual-Arm Robot With Unknown Kinematics and Dynamics 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2019, 卷号: 27, 期号: 3, 页码: 574-588
作者:  Yang, Chenguang;  Jiang, Yiming;  Na, Jing;  Li, Zhijun;  Cheng, Long;  Su, Chun-Yi
收藏  |  浏览/下载：265/0  |  提交时间：2019/07/12
Dual-arm robots  finite-time (FT) convergence  fuzzy logic system (FLS)  uncertain kinematics  
Neural Networks Enhanced Adaptive Admittance Control of Optimized Robot-Environment Interaction 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 期号: 7, 页码: 2568-2579
作者:  Yang, Chenguang;  Peng, Guangzhu;  Li, Yanan;  Cui, Rongxin;  Cheng, Long;  Li, Zhijun
收藏  |  浏览/下载：297/0  |  提交时间：2019/07/11
Admittance control  neural networks (NNs)  observer  optimal adaptive control  robot-environment interaction  
Neural networks enhancedadaptive admittance control of optimized robot-environment interaction 期刊论文
IEEE Transactions on Cybernetics, 2018
作者:  Chenguang Yang;  Guangzhu Peng;  Yanan Li;  Rongxin Cui;  Long Cheng;  Zhijun Li
收藏  |  浏览/下载：159/0  |  提交时间：2019/02/14
Admittance control  neural networks (NNs)  observer  optimal adaptive control  robot–environment interaction