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A Bio-Inspired Integration Model of Basal Ganglia and Cerebellum for Motion Learning of a Musculoskeletal Robot 期刊论文
Journal of Systems Science and Complexity, 2024, 卷号: 37, 页码: 82-113
作者:  Jinhan Zhang;  Jiahao Chen;  Shanlin Zhong;  Hong Qiao
Adobe PDF(1513Kb)  |  收藏  |  浏览/下载:14/1  |  提交时间:2024/06/04
Neural Manifold Modulated Continual Reinforcement Learning for Musculoskeletal Robots 期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2024, 卷号: 16, 期号: 1, 页码: 86-99
作者:  Chen JH(陈嘉浩);  Chen ZY(陈紫渝);  Yao CJ(姚超竞);  Qiao H(乔红)
Adobe PDF(6732Kb)  |  收藏  |  浏览/下载:16/0  |  提交时间:2024/06/04
Continual reinforcement learning  musculoskeletal robots  neural manifold  recurrent neural network (RNN)  
Memory, attention, and muscle synergies based reinforcement and transfer learning for musculoskeletal robots under imperfect observation 期刊论文
IEEE/ASME Transactions on Mechatronics, 2024, 页码: doi:10.1109/TMECH.2024.3401045
作者:  Chen JH(陈嘉浩);  Wu YX(吴亚雄);  Qiao H(乔红)
Adobe PDF(5646Kb)  |  收藏  |  浏览/下载:13/1  |  提交时间:2024/06/04
Meta Graph Transformer: A Novel Framework for Spatial-Temporal Traffic Prediction 期刊论文
NEUROCOMPUTING, 2022, 卷号: 491, 页码: 544-563
作者:  Ye, Xue;  Fang, Shen;  Sun, Fang;  Zhang, Chunxia;  Xiang, Shiming
Adobe PDF(3491Kb)  |  收藏  |  浏览/下载:239/31  |  提交时间:2022/09/19
Traffic prediction  Spatial-temporal modeling  Meta-learning  Attention mechanism  Deep learning  
The Combination of Two Control Strategies for Series Hybrid Electric Vehicles 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2019, 卷号: 6, 期号: 2, 页码: 596-608
作者:  Luo, Can;  Shen, Zhen;  Evangelou, Simos;  Xiong, Gang;  Wang, Fei-Yue
Adobe PDF(8306Kb)  |  收藏  |  浏览/下载:183/46  |  提交时间:2022/04/07
DC-Link Voltage Control, Power Follower Control Strategy, Series Hybrid Electric Vehicles, Tuning  
Color‐Guided Depth Map Super‐Resolution Using a Dual‐Branch Multi‐Scale Residual Network with Channel Interaction 期刊论文
Sensors, 2020, 卷号: 20, 期号: 6, 页码: 1560
作者:  陈睿进;  高伟
浏览  |  Adobe PDF(2336Kb)  |  收藏  |  浏览/下载:277/69  |  提交时间:2020/04/30
Depth Map  Super‐resolution  Guidance  Residual Network  Channel Interaction