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Toward Coordination Control of Multiple Fish-Like Robots: Real-Time Vision-Based Pose Estimation and Tracking via Deep Neural Networks 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 12, 页码: 1964-1976
作者:  Tianhao Zhang;  Jiuhong Xiao;  Liang Li;  Chen Wang;  Guangming Xie
Adobe PDF(40902Kb)  |  收藏  |  浏览/下载:131/16  |  提交时间:2021/09/03
Deep neural networks  formation control  multiple fish-like robots  pose estimation  pose tracking  
Static Force-Based Modeling and Parameter Estimation for a Deformable Link Composed of Passive Spherical Joints With Preload Forces 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 11, 页码: 1817-1826
作者:  Gaofeng Li;  Dezhen Song;  Lei Sun;  Shan Xu;  Hongpeng Wang;  Jingtai Liu
Adobe PDF(5110Kb)  |  收藏  |  浏览/下载:187/62  |  提交时间:2021/09/03
Deformable link  parameters identification  spherical joint with preload force  static force-based model  
Vision Based Hand Gesture Recognition Using 3D Shape Context 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 9, 页码: 1600-1613
作者:  Chen Zhu;  Jianyu Yang;  Zhanpeng Shao;  Chunping Liu
Adobe PDF(20003Kb)  |  收藏  |  浏览/下载:163/43  |  提交时间:2021/09/03
3D shape context  depth map  hand shape segmentation  hand gesture recognition  human-computer interaction  
Digital Twin for Human-Robot Interactive Welding and Welder Behavior Analysis 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 2, 页码: 334-343
作者:  Qiyue Wang;  Wenhua Jiao;  Peng Wang;  YuMing Zhang
Adobe PDF(29574Kb)  |  收藏  |  浏览/下载:151/29  |  提交时间:2021/04/09
Digital twin (DT)  human-robot interaction (HRI)  machine learning  virtual reality (VR)  welder behavior analysis  
Dynamic Hand Gesture Recognition Based on Short-Term Sampling Neural Networks 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 1, 页码: 110-120
作者:  Wenjin Zhang;  Jiacun Wang;  Fangping Lan
Adobe PDF(15608Kb)  |  收藏  |  浏览/下载:204/61  |  提交时间:2021/04/09
Convolutional neural network (ConvNet)  hand gesture recognition  long short-term memory (LSTM) network  short-term sampling  transfer learning