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Learning Human-to-Robot Dexterous Handovers for Anthropomorphic Hand 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2023, 卷号: 15, 期号: 3, 页码: 1224-1238
作者:  Duan, Haonan;  Wang, Peng;  Li, Yiming;  Li, Daheng;  Wei, Wei
收藏  |  浏览/下载：46/0  |  提交时间：2023/12/21
Anthropomorphic hand  handovers  human-robot interaction  
Drivable Space of Rehabilitation Robot for Physical Human-Robot Interaction: Definition and an Expanding Method 期刊论文
IEEE TRANSACTIONS ON ROBOTICS, 2022, 页码: 14
作者:  Wang, Weiqun;  Liang, Xu;  Liu, Shengda;  Lin, Tianyu;  Zhang, Pu;  Lv, Zhen;  Wang, Jiaxing;  Hou, Zeng-Guang
收藏  |  浏览/下载：166/0  |  提交时间：2022/11/14
Assistive robots  Torque  Robot kinematics  Training  Exoskeletons  Biological system modeling  Adaptation models  Adaptive learning  dynamics modeling  physical human-robot interaction (pHRI)  rehabilitation robot  
DVGG: Deep Variational Grasp Generation for Dextrous Manipulation 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 卷号: 7, 期号: 2, 页码: 1659-1666
作者:  Wei, Wei;  Li, Daheng;  Wang, Peng;  Li, Yiming;  Li, Wanyi;  Luo, Yongkang;  Zhong, Jun
Adobe PDF(3717Kb)  |  收藏  |  浏览/下载：196/8  |  提交时间：2022/03/17
Deep learning in grasping and manipulation  multifingered hands  computer vision for automation  point cloud completion  iterative refinement  
Tracking of Uncertain Robotic Manipulators Using Event-Triggered Model Predictive Control With Learning Terminal Cost 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2022, 页码: 15
作者:  Kang, Erlong;  Qiao, Hong;  Chen, Ziyu;  Gao, Jie
Adobe PDF(4203Kb)  |  收藏  |  浏览/下载：373/150  |  提交时间：2022/06/06
Model predictive control  robotic manipulator  leaning terminal cost  neural networks  event-triggered mechanism  unknown dynamics  
Prediction of Human Voluntary Torques Based on Collaborative Neuromusculoskeletal Modeling and Adaptive Learning 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2021, 卷号: 68, 期号: 6, 页码: 5217-5226
作者:  Wang, Weiqun;  Shi, Weiguo;  Hou, Zeng-Guang;  Chen, Badong;  Liang, Xu;  Ren, Shixin;  Wang, Jiaxing;  Peng, Liang
Adobe PDF(13331Kb)  |  收藏  |  浏览/下载：281/42  |  提交时间：2021/04/06
Muscles  Adaptation models  Adaptive learning  Force  Calibration  Hip  Electromyography  Adaptive learning  human–  robot interaction  neuromusculoskeletal modeling  parameter calibration  surface electromyography (sEMG) processing  
Toward Improving Engagement in Neural Rehabilitation: Attention Enhancement Based on Brain-Computer Interface and Audiovisual Feedback 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2020, 卷号: 12, 期号: 4, 页码: 787-796
作者:  Wang, Jiaxing;  Wang, Weiqun;  Hou, Zeng-Guang
Adobe PDF(2031Kb)  |  收藏  |  浏览/下载：256/60  |  提交时间：2021/03/02
Avatars  Electroencephalography  Training  Games  Real-time systems  Task analysis  Stroke (medical condition)  Attention enhancement  brain–  computer interface (BCI)  electroencephalogram (EEG)  neural rehabilitation  virtual reality  
Engagement Enhancement Based on Human-in-the-Loop Optimization for Neural Rehabilitation 期刊论文
FRONTIERS IN NEUROROBOTICS, 2020, 卷号: 12, 期号: 无, 页码: 11
作者:  Wang, Jiaxing;  Wang, Weiqun;  Ren, Shixin;  Shi, Weiguo;  Hou, Zeng-Guang
Adobe PDF(2370Kb)  |  收藏  |  浏览/下载：261/66  |  提交时间：2021/01/06
human-in-the-loop optimization  EEG based neural engagement  sEMG based muscle activation  tracking accuracy  neural rehabilitation  
WAGNN: A Weighted Aggregation Graph Neural Network for robot skill learning 期刊论文
ROBOTICS AND AUTONOMOUS SYSTEMS, 2020, 卷号: 130, 页码: 9
作者:  Zhang, Fengyi;  Liu, Zhiyong;  Xiong, Fangzhou;  Su, Jianhua;  Qiao, Hong
Adobe PDF(1550Kb)  |  收藏  |  浏览/下载：292/41  |  提交时间：2020/07/20
Skill transfer learning  Serial structures  Robot skill learning  Graph Neural Network  
Connecting Model-Based and Model-Free Control With Emotion Modulation in Learning Systems 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 卷号: 10, 期号: 4, 页码: 1-15
作者:  Huang, Xiao;  Wu, Wei;  Qiao, Hong
浏览  |  Adobe PDF(1614Kb)  |  收藏  |  浏览/下载：234/83  |  提交时间：2020/06/09
Brain-inspired computing  decision-making  emotion modulation  emotion-cognition interactions  reinforcement learning