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A memory and attention-based reinforcement learning for musculoskeletal robots with prior knowledge of muscle synergies 期刊论文
Robotic Intelligence and Automation, 2024, 卷号: 44, 期号: 2, 页码: 316-333
作者:  Xiaona Wang;  Jiahao Chen;  Hong Qiao
Adobe PDF(2591Kb)  |  收藏  |  浏览/下载：34/10  |  提交时间：2024/06/04
Musculoskeletal robot  Partial observable  Reinforcement learning  LSTM  Attention  Muscle synergy  
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：37/6  |  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  
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：17/3  |  提交时间：2024/06/04
Muscle synergy  musculoskeletal robots  reinforcement learning  
Optimal grasp force for robotic grasping and in-hand manipulation with impedance control 期刊论文
Assembly Automation, 2021, 卷号: 41, 期号: 2, 页码: 208-220
作者:  Li XQ(李小青);  Chen ZY(陈紫渝);  Ma C(马超)
Adobe PDF(1324Kb)  |  收藏  |  浏览/下载：29/9  |  提交时间：2024/06/04
Impedance control  In-hand manipulation  Grasp force control  Grasp quality optimization  Robotic grasping  Index terms grasp force control  
Model-Based Trajectory Planning of a Hybrid Robot for Powerline Inspection 期刊论文
IEEE Robotics and Automation Letters, 2024, 卷号: 9, 期号: 4, 页码: 3443-3450
作者:  Zhishuo, Li;  Yunong, Tian;  Guodong, Yang;  Yanfeng, Zhang;  En, Li;  Zize, Liang;  Min, Tan
Adobe PDF(2815Kb)  |  收藏  |  浏览/下载：40/13  |  提交时间：2024/05/31
Aerial systems  Applications  constrained motion planning  motion and path planning  
Entity Recommendation with Negative Feedback Memory Networks for Topic-oriented Knowledge Graph Exploration 期刊论文
IEEE Transactions on Reliability, 2022, 卷号: 71, 期号: 2, 页码: 0
作者:  Yang, Yi;  Li, Meng;  Wang, Jian;  Huang, Weixing;  Wang,Yun
Adobe PDF(810Kb)  |  收藏  |  浏览/下载：321/103  |  提交时间：2022/03/31
entity recommendation  knowledge graph  negative feedback  memory network  knowledge graph exploration  
Disentangled Item Representation for Recommender Systems 期刊论文
Transactions on Intelligent Systems and Technology (TIST), 2021, 卷号: 0, 期号: 0, 页码: 0
作者:  Cui Zeyu;  Yu Feng;  Wu Shu;  Liu Qiang;  Wang Liang
Adobe PDF(4552Kb)  |  收藏  |  浏览/下载：219/61  |  提交时间：2021/06/17
Representation learning  Recommender systems  Attribute disentangling  
Adaptive-Neural-Network-Based Trajectory Tracking Control for a Nonholonomic Wheeled Mobile Robot With Velocity Constraints 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2021, 卷号: 68, 期号: 6, 页码: 5057-5067
作者:  Chen, Ziyu;  Liu, Yang;  He, Wei;  Qiao, Hong;  Ji, Haibo
Adobe PDF(1673Kb)  |  收藏  |  浏览/下载：322/11  |  提交时间：2021/04/06
Mobile robots  Lyapunov methods  Adaptive systems  Artificial neural networks  Automation  Adaptive neural networks  barrier Lyapunov function (BLF)  velocity constraint  wheeled mobile robot (WMR)  
Adaptive Trajectory Tracking of Wheeled Mobile Robots Based on a Fish- Eye Camera 期刊论文
International Journal of Control, Automation and Systems, 2019, 卷号: 17, 期号: 2, 页码: 2297-2309
作者:  Kang, Zhaobing;  Zou, Wei;  Ma, Hongxuan;  Zhu, Zheng
浏览  |  Adobe PDF(5266Kb)  |  收藏  |  浏览/下载：272/27  |  提交时间：2020/05/09
Adaptive Control  Pose Estimation  Visual Trajectory Tracking  Wheeled Mobile Robots  
Effective automated pipeline for 3D reconstruction of synapses based on deep learning 期刊论文
BMC Bioinformatics, 2018, 卷号: 19, 期号: 1, 页码: 263
作者:  Xiao, Chi;  Li, Weifu;  Deng, Hao;  Chen, Xi;  Yang, Yang;  Xie, QiWei;  Han, Hua
浏览  |  Adobe PDF(7961Kb)  |  收藏  |  浏览/下载：345/105  |  提交时间：2019/05/06
Electron Microscope, Synapse Detection, Deep Learning, Synapse Segmentation, 3d Reconstruction Of Synapses