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A neural network-based model predictive controller for displacement tracking of piezoelectric actuator with feedback delays 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2021, 卷号: 18, 期号: 6, 页码: 11
作者:  Du, Zhangming;  Zhou, Chao;  Cao, Zhiqiang;  Wang, Shuo;  Cheng, Long;  Tan, Min
Adobe PDF(662Kb)  |  收藏  |  浏览/下载：346/69  |  提交时间：2021/12/28
Piezoelectric actuator  neural network  displacement tracking  model predictive control  
A monocular vision-based perception approach for unmanned aerial vehicle close proximity transmission tower inspection 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2019, 卷号: 16, 期号: 1, 页码: 20
作者:  Bian, Jiang;  Hui, Xiaolong;  Zhao, Xiaoguang;  Tan, Min
浏览  |  Adobe PDF(1859Kb)  |  收藏  |  浏览/下载：455/100  |  提交时间：2019/07/12
Close proximity inspection of transmission tower  tower localization  UAV self-positioning  monocular vision  
A monocular-based navigation approach for unmanned aerial vehicle safe and autonomous transmission-line inspection 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2019, 卷号: 16, 期号: 1, 页码: 16
作者:  Hui, Xiaolong;  Bian, Jiang;  Zhao, Xiaoguang;  Tan, Min
Adobe PDF(2092Kb)  |  收藏  |  浏览/下载：332/2  |  提交时间：2019/07/12
UAV  safety navigation approach  intelligent transmission-line inspection  monocular vision  
A PCA-CCA network for RGB-D object recognition 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2018, 卷号: 15, 期号: 1
作者:  Sun, Shiying;  An, Ning;  Zhao, Xiaoguang;  Tan, Min
浏览  |  Adobe PDF(734Kb)  |  收藏  |  浏览/下载：368/113  |  提交时间：2018/10/10
Object Recognition  Pcanet  3d Perception  Canonical Correlation Analysis  Deep Learning  
Vision-based autonomous navigation approach for unmanned aerial vehicle transmission-line inspection 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2018, 卷号: 15, 期号: 1, 页码: 1-15
作者:  Hui, Xiaolong;  Bian, Jiang;  Zhao, Xiaoguang;  Tan, Min
浏览  |  Adobe PDF(2695Kb)  |  收藏  |  浏览/下载：439/167  |  提交时间：2018/05/06
Unmanned Aerial Vehicle  Intelligent Inspection  Three-dimensional (3-d) Perception  Visual Navigation  
A terrain description method for traversability analysis based on elevation grid map 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2018, 卷号: 15, 期号: 1, 页码: 1-12
作者:  Meng, Xiangrui;  Cao, Zhiqiang;  Liang, Shuang;  Pang, Lei;  Wang, Shuo;  Zhou, Chao
浏览  |  Adobe PDF(1385Kb)  |  收藏  |  浏览/下载：302/47  |  提交时间：2018/04/26
Terrain Description  Point Cloud  Elevation Grid Map  Roughness  Slope Angle Estimation  Mobile Robots  
Remember like humans: Visual tracking with cognitive psychological memory model 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2017, 卷号: 14, 期号: 1, 页码: 1-9
作者:  An, Ning;  Sun, Shi-Ying;  Zhao, Xiao-Guang;  Hou, Zeng-Guang
浏览  |  Adobe PDF(919Kb)  |  收藏  |  浏览/下载：400/98  |  提交时间：2017/05/05
Visual Object Tracking  Biologically Inspired Vision  Cognitive Psychological Memory Model  3-d Perception  
Towards a miniature self-propelled jellyfish-like swimming robot 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2016, 卷号: 13, 期号: 5, 页码: 1-9
作者:  Yu, Junzhi;  Xiao, Jundong;  Li, Xiangbin;  Wang, Weibing
浏览  |  Adobe PDF(800Kb)  |  收藏  |  浏览/下载：316/97  |  提交时间：2017/01/23
Bioinspired Robot  Soft Robot  Robotic Jellyfish  Motion Control  Swimming  
Data-Wave-Based Features Extraction and Its Application in Symbol Identifier Recognition and Positioning Suitable for Multi-Robot Systems Regular Paper 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2012, 卷号: 9
作者:  Liu, Xilong;  Qian, Hanbo;  Cao, Zhiqiang;  Zhou, Chao;  Yang, Yuequan;  Tan, Min
Adobe PDF(1168Kb)  |  收藏  |  浏览/下载：327/80  |  提交时间：2015/08/12
Data-wave  Symbol Identifier  Structure Features  Pixel Chain  Recognition And Positioning  
Learning Representative Features for Robot Topological Localization Regular Paper 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2013, 卷号: 10
作者:  Zhao, Zeng-Shun;  Feng, Xiang;  Wei, Fang;  Lin, Yan-Yan;  Li, Yi-Bin;  Hou, Zeng-Guang;  Tan, Min
收藏  |  浏览/下载：269/0  |  提交时间：2015/08/12
Vision-based Localization  Hidden Markov Model  Invariant Feature  Competitive Learning