CASIA OpenIR

浏览/检索结果: 共65条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
Mechanical Design and Dynamic Compliance Control of Lightweight Manipulator 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 926-934
作者:  Shao-Lin Zhang;  Yue-Guang Ge;  Hai-Tao Wang;  Shuo Wang
Adobe PDF(1817Kb)  |  收藏  |  浏览/下载:194/43  |  提交时间:2021/11/26
Lightweight manipulator  mechanical design  dynamic trajectory planning  compliance control  robot control  
Fault Classification for On-board Equipment of High-speed Railway Based on Attention Capsule Network 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 814-825
作者:  Lu-Jie Zhou;  Jian-Wu Dang;  Zhen-Hai Zhan
Adobe PDF(1208Kb)  |  收藏  |  浏览/下载:213/50  |  提交时间:2021/09/13
On-board equipment  fault classification  capsule network  attention mechanism  focal loss  
A 2D Mapping Method Based on Virtual Laser Scans for Indoor Robots 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 747-765
作者:  Xu-Yang Shao;  Guo-Hui Tian;  Ying Zhang
Adobe PDF(2637Kb)  |  收藏  |  浏览/下载:196/44  |  提交时间:2021/09/13
2D mapping  indoor robots  virtual laser  mapping auxiliary strategies  safe navigation  
Designing an Intelligent Control Philosophy in Reservoirs of Water Transfer Networks in Supervisory Control and Data Acquisition System Stations 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 694-717
作者:  Ali Dolatshahi Zand, Kaveh Khalili-Damghani, Sadigh Raissi
Adobe PDF(9772Kb)  |  收藏  |  浏览/下载:173/42  |  提交时间:2021/09/13
Water demand forecasting  water transfer network  supervisory control and data acquisition  water management, multi-core artificial neural network, fuzzy inference system  
Fuzzy Tuned PID Controller for Envisioned Agricultural Manipulator 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 568-580
作者:  Satyam Paul;  Ajay Arunachalam;  Davood Khodadad;  Henrik Andreasson;  Olena Rubanenko
Adobe PDF(1952Kb)  |  收藏  |  浏览/下载:159/49  |  提交时间:2021/07/20
Proportional-integral-differential (PID) controller  fuzzy logic  precision agriculture  vibration control  stability analysis  modular manipulator  agricultural robot  computer numerical control (CNC) farming  
A Review on Cooperative Robotic Arms with Mobile or Drones Bases 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 536-555
作者:  Larona Pitso Ramalepa;  Rodrigo S. Jamisola Jr.
Adobe PDF(1192Kb)  |  收藏  |  浏览/下载:481/338  |  提交时间:2021/07/20
Cooperative arms  mobile manipulator  aerial manipulator  mobile base  drone base  cooperative tasks  
Ensuring the Correctness of Regular Expressions: A Review 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 521-535
作者:  Li-Xiao Zheng;  Shuai Ma;  Zu-Xi Chen;  Xiang-Yu Luo
Adobe PDF(1076Kb)  |  收藏  |  浏览/下载:112/30  |  提交时间:2021/07/20
Regular expressions  correctness  string generation  learning  static checking  verification  visualization, repairing  
Learning Deep RGBT Representations for Robust Person Re-identification 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 443-456
作者:  Ai-Hua Zheng;  Zi-Han Chen;  Cheng-Long Li;  Jin Tang;  Bin Luo
Adobe PDF(1832Kb)  |  收藏  |  浏览/下载:253/49  |  提交时间:2021/05/24
Person re-identification (Re-ID)  thermal infrared  generative networks  attention  deep learning  
PokerNet: Expanding Features Cheaply via Depthwise Convolutions 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 432-442
作者:  Wei Tang;  Yan Huang;  Liang Wang
Adobe PDF(1163Kb)  |  收藏  |  浏览/下载:215/32  |  提交时间:2021/05/24
Deep learning  depthwise convolution  lightweight deep model  model compression  model acceleration  
Deep Audio-Visual Learning: A Survey 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 351-376
作者:  Hao Zhu;  Man-Di Luo;  Rui Wang;  Ai-Hua Zheng;  Ran He
Adobe PDF(1864Kb)  |  收藏  |  浏览/下载:192/36  |  提交时间:2021/05/24
Deep audio-visual learning  audio-visual separation and localization  correspondence learning  generative models  representation learning