CASIA OpenIR
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Decoding Electromyographic Signal With Multiple Labels for Hand Gesture Recognition 期刊论文
IEEE SIGNAL PROCESSING LETTERS, 2023, 卷号: 30, 页码: 483-487
作者:  Zou, Yongxiang;  Cheng, Long;  Han, Lijun;  Li, Zhengwei;  Song, Luping
收藏  |  浏览/下载:82/0  |  提交时间:2023/11/17
Feature extraction  Gesture recognition  Decoding  Aggregates  Muscles  Hospitals  Graph neural networks  Electromyogram decoding  graph neural network  hand gesture recognition  multiple labels  
Self-Learning Robust Control Synthesis and Trajectory Tracking of Uncertain Dynamics 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 卷号: 52, 期号: 1, 页码: 278-286
作者:  Wang, Ding;  Cheng, Long;  Yan, Jun
收藏  |  浏览/下载:182/0  |  提交时间:2022/03/17
Robust control  Optimal control  Cost function  Trajectory tracking  Nonlinear systems  Feedback control  Dynamical systems  Adaptive critic learning  control synthesis  neural networks  optimization  robust stabilization  tracking design  
Adaptive-Constrained Impedance Control for Human-Robot Co-Transportation 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 13
作者:  Yu, Xinbo;  Li, Bin;  He, Wei;  Feng, Yanghe;  Cheng, Long;  Silvestre, Carlos
收藏  |  浏览/下载:235/0  |  提交时间:2022/02/16
Robots  Robot sensing systems  Task analysis  Force  Impedance  Sensors  Collaboration  Error constraint  human-robot co-transportation  input constraint  neural networks (NNs)  vision and force sensing  
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:216/0  |  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  
A Rapid Spiking Neural Network Approach With an Application on Hand Gesture Recognition 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2021, 卷号: 13, 期号: 1, 页码: 151-161
作者:  Cheng, Long;  Liu, Yang;  Hou, Zeng-Guang;  Tan, Min;  Du, Dajun;  Fei, Minrui
收藏  |  浏览/下载:194/0  |  提交时间:2021/04/27
Forward propagation  hand gesture recognition  spiking neural networks (SNNs)  surface electromyography  
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:158/0  |  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  
RNN for Perturbed Manipulability Optimization of Manipulators Based on a Distributed Scheme: A Game-Theoretic Perspective 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 12, 页码: 5116-5126
作者:  Zhang, Jiazheng;  Jin, Long;  Cheng, Long
收藏  |  浏览/下载:227/0  |  提交时间:2021/03/02
Optimization  Neural networks  Task analysis  Nash equilibrium  Manipulator dynamics  Distributed control  game theory  manipulability optimization  neural network  redundancy resolution  
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:254/0  |  提交时间:2019/07/11
Admittance control  neural networks (NNs)  observer  optimal adaptive control  robot-environment interaction  
Spiking-Neural-Network Based Fugl-Meyer Hand Gesture Recognition For Wearable Hand Rehabilitation Robot 会议论文
IJCNN, Rio de Janeiro,Brazil, 2018-7
作者:  Liu, Yang;  Cheng, Long
浏览  |  Adobe PDF(9398Kb)  |  收藏  |  浏览/下载:231/82  |  提交时间:2019/04/30
Spiking Neural Networks, Surface Electromyography, Fugl-meyer Assessment, Hand Gesture Recogniton, Spikeprop  
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:150/0  |  提交时间:2019/02/14
Admittance control  neural networks (NNs)  observer  optimal adaptive control  robot–environment interaction