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Robust Motion Learning for Musculoskeletal Robots Based on a Recurrent Neural Network and Muscle Synergies 期刊论文
IEEE Transactions on Automation Science and Engineering, 2024, 页码: 1-16
作者:  Jiahao Chen;  Wu YX(吴亚雄);  Yao CJ(姚超竞);  Huang X(黄销)
Adobe PDF(4084Kb)  |  收藏  |  浏览/下载：40/7  |  提交时间：2024/06/04
Musculoskeletal system  Robots  Muscles  Reinforcement learning  Robustness  Learning systems  Recurrent neural networks  Musculoskeletal robots  recurrent neural network  muscle synergy  robustness  
Automatic Robotic Cranium-Milling: A Motion Control Study of In Vitro Animal Experiments 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2024, 页码: 1-14
作者:  Bian GB(边桂彬);  Qian C(钱琛);  Li Z(李桢);  Ye Q(叶强);  Ge PC(葛培聪);  Zhao JZ(赵继宗)
Adobe PDF(2827Kb)  |  收藏  |  浏览/下载：42/9  |  提交时间：2024/05/28
Autonomous craniotomy robot  model-free adaptive nonlinear force control  skull-milling breakthrough detection  in vitro animal experiments  
Robotic Automatic Drilling for Craniotomy: Algorithms and In Vitro Animal Experiments 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2023, 页码: 12
作者:  Bian, Gui-Bin;  Wei, Bing-Ting;  Li, Zhen;  Ge, Peicong;  Chen, Zhang;  Qian, Chen;  Wang, Jie;  Fu, Pan;  Zhao, Jizong
Adobe PDF(2827Kb)  |  收藏  |  浏览/下载：129/10  |  提交时间：2023/11/17
Drilling  Robots  Force  Robot sensing systems  Skull  Feeds  Service robots  Autonomous drilling  craniotomy robot  feed velocity and force constraint control  in vitro experiment  skull-dura boundary detection  
Improving the Ability of Robots to Navigate Through Crowded Environments Safely using Deep Reinforcement Learning 会议论文
, 中国桂林, 2022-7-9
作者:  Shan QF(单钦锋);  Wang WJ(王伟杰);  Guo DF(郭丁飞);  Sun XR(孙向荣);  Jia LH(贾立好)
Adobe PDF(494Kb)  |  收藏  |  浏览/下载：147/49  |  提交时间：2023/06/05
Deep learning  Mechatronics  Navigation  Reinforcement learning  Cost function  Real-time systems  Trajectory  
Fixed-time consensus disturbance rejection for high-order nonlinear multi-agent systems with input saturation 期刊论文
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2022, 卷号: 44, 期号: 12, 页码: 2443–2453
作者:  Ai, Xiaolin
Adobe PDF(1670Kb)  |  收藏  |  浏览/下载：198/33  |  提交时间：2022/06/10
Fixed-time consensus  multi-agent systems  disturbance rejection  input saturation  
Distributed Nash equilibrium seeking for integrated game and control of multi-agent systems with input delay 期刊论文
NONLINEAR DYNAMICS, 2021, 卷号: 106, 页码: 583-603
作者:  Ai, Xiaolin
Adobe PDF(3382Kb)  |  收藏  |  浏览/下载：210/37  |  提交时间：2021/11/03
Nash equilibrium seeking  Integrated game and control  Multi-agent systems  Input delay  Input-to-stable stability  
Consensus Control of Leader-Following Multi-Agent Systems in Directed Topology With Heterogeneous Disturbances 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2021, 卷号: 8, 期号: 2, 页码: 423-431
作者:  Wei, Qinglai;  Wang, Xin;  Zhong, Xiangnan;  Wu, Naiqi
Adobe PDF(4423Kb)  |  收藏  |  浏览/下载：314/47  |  提交时间：2021/03/08
Consensus control  directed topology  external disturbance  multi-agent (MA) systems  
Deep Unbiased Embedding Transfer for Zero-Shot Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 期号: 29, 页码: 1958-1971
作者:  Jia, Zhen;  Zhang, Zhang;  Wang, Liang;  Shan, Caifeng;  Tan, Tieniu
浏览  |  Adobe PDF(3428Kb)  |  收藏  |  浏览/下载：422/70  |  提交时间：2020/03/30
Visualization  Feature extraction  Semantics  Training  Seals  Prototypes  Indexes  Zero-shot learning  image classification  projection domain shift  convolutional neural network  generative adversarial network  
Distributed consensus of networked markov jump multi-agent systems with mode-dependent event-triggered communications and switching topologies 期刊论文
PEER-TO-PEER NETWORKING AND APPLICATIONS, 2019, 卷号: 12, 页码: 1753-1760
作者:  Ma, Chao;  Kang, Erlong
Adobe PDF(1013Kb)  |  收藏  |  浏览/下载：417/69  |  提交时间：2020/03/30
Distributed consensus  Markov jump multi-agent systems  Mode-dependent event-triggered communication  Mode-dependent switching topologies  
Generative Adversarial Networks: Introduction and Outlook 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2017, 卷号: 4, 期号: 4, 页码: 588-598
作者:  Kunfeng Wang;  Chao Gou;  Yanjie Duan;  Yilun Lin;  Xinhu Zheng;  Fei-Yue Wang
Adobe PDF(16945Kb)  |  收藏  |  浏览/下载：379/44  |  提交时间：2018/01/08
Acp Approach  Adversarial Learning  Generative Adversarial Networks (Gans)  Generative Models  Parallel Intelligence  Zero-sum Game