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CASIA OpenIR
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Hierarchical Policy Learning With Demonstration Learning for Robotic Multiple Peg-in-Hole Assembly Tasks 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 卷号: 19, 期号: 10, 页码: 10254-10264
作者:  Yan, Shaohua;  Xu, De;  Tao, Xian
Adobe PDF(4845Kb)  |  收藏  |  浏览/下载：131/13  |  提交时间：2023/11/17
Assembly model  demonstration learning (DL)  force-based control algorithm  hierarchical reinforcement learning (HRL)  peg-in-hole assembly  
Image-Based Visual Servoing System for Components Alignment Using Point and Line Features 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 11
作者:  Yan, Shaohua;  Tao, Xian;  Xu, De
Adobe PDF(1856Kb)  |  收藏  |  浏览/下载：249/15  |  提交时间：2022/06/10
Deep neural network  feature extraction  image-based visual servoing  interaction matrix  pose error estimation  robotic assembly system  
Wire Defect Recognition of Spring-Wire Socket Using Multitask Convolutional Neural Networks 期刊论文
IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY, 2018, 卷号: 8, 期号: 4, 页码: 689-698
作者:  Tao, Xian;  Wang, Zihao;  Zhang, Zhengtao;  Zhang, Dapeng;  Xu, De;  Gong, Xinyi;  Zhang, Lei
浏览  |  Adobe PDF(4279Kb)  |  收藏  |  浏览/下载：526/198  |  提交时间：2018/10/02
Convolutional Neural Network (Cnn)  Defect Recognition  Machine Vision  Multitask Learning  Spring-wire Sockets  
The Development and Prospect of Surface Defect Detection Based on Vision Measurement Method 会议论文
, 中国桂林, 2016.05.12-2016.05.15
作者:  Yuan LX(袁伦喜);  Zhang ZT(张正涛);  Tao X(陶显)
浏览  |  Adobe PDF(657Kb)  |  收藏  |  浏览/下载：748/305  |  提交时间：2017/05/10
Defect Detect  Vision Measurement  
A Novel and Effective Surface Flaw Inspection Instrument for Large-Aperture Optical Elements 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2015, 卷号: 64, 期号: 9, 页码: 2530-2540
作者:  Tao, Xian;  Zhang, Zhengtao;  Zhang, Feng;  Xu, De
浏览  |  Adobe PDF(591Kb)  |  收藏  |  浏览/下载：567/152  |  提交时间：2015/09/23
Bright-field Imaging System (Bfis)  Dark-field Imaging System (Dfis)  Flaw Inspection  Image Processing  Large-aperture Optical Element  Measurement  Path Planning