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Quality Inspection Based on Quadrangular Object Detection for Deep Aperture Component 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 卷号: Early Access, 期号: Early Access, 页码: 0
作者:  Zhang JB(张家斌);  Zhang ZT(张正涛);  Su H(苏虎);  Zou W(邹伟);  Gong XY(宫新一);  Zhang F(张峰)
Adobe PDF(3914Kb)  |  收藏  |  浏览/下载:292/65  |  提交时间:2021/05/27
Quality Inspection  Quadrangular Object Detection  
Automatic Precision Robot Assembly System with Microscopic Vision and Force Sensor 期刊论文
International Journal of Advanced Robotic Systems, 2019, 卷号: 2019, 期号: 2019, 页码: 1-15
作者:  Ma, Yanqin;  Du, Kai;  Zhou, Dongfeng;  Zhang, Juan;  Liu, Xilong;  Xu, De
浏览  |  Adobe PDF(1301Kb)  |  收藏  |  浏览/下载:302/113  |  提交时间:2020/06/11
Grasping  Aligning  visual servoing  precision assembly  robot system  
A Fast Surface Defect Detection Method Based on Background Reconstruction 期刊论文
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING, 2019, 卷号: 21, 期号: 3, 页码: 363-375
作者:  Lv, Chengkan;  Zhang, Zhengtao;  Shen, Fei;  Zhang, Feng;  Su, Hu
Adobe PDF(2471Kb)  |  收藏  |  浏览/下载:388/62  |  提交时间:2020/03/30
Defect detection  Unsupervised learning  Background reconstruction  
Robust Insertion Control for Precision Assembly With Passive Compliance Combining Vision and Force Information 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2019, 卷号: 24, 期号: 5, 页码: 1974-1985
作者:  Liu, Song;  Xing, Deng-Peng;  Li, You-Fu;  Zhang, Jianwei;  Xu, De
浏览  |  Adobe PDF(3506Kb)  |  收藏  |  浏览/下载:464/155  |  提交时间:2020/03/30
Force  Springs  Strain  Task analysis  Cameras  Manipulators  Force sensors  Hybrid force  position control  insertion control  microscopic vision  passive compliance  precision assembly  
Efficient Insertion of Partially Flexible Objects in Precision Assembly 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2019, 卷号: 16, 期号: 2, 页码: 706-715
作者:  Xing, Dengpeng;  Liu, Fangfang;  Liu, Song;  Xu, De
浏览  |  Adobe PDF(1976Kb)  |  收藏  |  浏览/下载:395/78  |  提交时间:2019/12/16
Efficient insertion  partially flexible object  precision assembly  
High precision assembly and efficient dispensing approaches for millimeter objects 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2019, 卷号: 16, 期号: 3, 页码: 11
作者:  Li, Ying;  Zhang, Dapeng;  Xu, De
浏览  |  Adobe PDF(1166Kb)  |  收藏  |  浏览/下载:401/115  |  提交时间:2019/09/29
Orientation measurement  laser range sensor  fluid glue dispensing  microscopic vision  precision assembly  
A data-based optimal setting method for the coking flue gas denitration process 期刊论文
CANADIAN JOURNAL OF CHEMICAL ENGINEERING, 2019, 卷号: 97, 期号: 4, 页码: 876-887
作者:  Li, Yaning;  Wang, Xuelei;  Liu, Zhenjie;  Bai, Xiwei;  Tan, Jie
浏览  |  Adobe PDF(2898Kb)  |  收藏  |  浏览/下载:398/110  |  提交时间:2019/07/12
coking flue gas denitration  data-based  optimal setting  CBR  JITL  
A Hardware-Oriented Algorithm for Ultra-High-Speed Object Detection 期刊论文
IEEE SENSORS JOURNAL, 2019, 卷号: 19, 期号: 10, 页码: 3818-3831
作者:  Li, Jianquan;  Liu, Xilong;  Liu, Fangfang;  Xu, De;  Gu, Qingyi;  Ishii, Idaku
浏览  |  Adobe PDF(4892Kb)  |  收藏  |  浏览/下载:342/61  |  提交时间:2019/07/12
Hardware implementation  high-frame-rate vision  field-programmable gate array  multi-object detection  histograms of oriented gradient  support vector machine  
Contour Extraction and Quality Inspection for Inner Structure of Deep Hole Components 期刊论文
IEEE Transactions on Components, Packaging and Manufacturing Technology, 2019, 卷号: 9, 期号: 3, 页码: 575-585
作者:  Gong XY(宫新一);  Hu Su;  De Xu;  Huabin Yang;  Zhengtao Zhang;  Lei Zhang
浏览  |  Adobe PDF(1336Kb)  |  收藏  |  浏览/下载:392/107  |  提交时间:2019/05/08
Brownian Motion, Edge Grouping, Contour Extraction, Deep-hole Component  
Robust Landmark Detection and Position Measurement Based on Monocular Vision for Autonomous Aerial Refueling of UAVs 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 期号: 12, 页码: 4167-4179
作者:  Sun, Siyang;  Yin, Yingjie;  Wang, Xingang;  Xu, De
浏览  |  Adobe PDF(2687Kb)  |  收藏  |  浏览/下载:614/205  |  提交时间:2018/10/02
Aerial refueling  landmark detection  monocular vision  multitask parallel deep convolution neural network (MPDCNN)  position measurement