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Group feature learning and domain adversarial neural network for aMCI diagnosis system based on EEG 会议论文
, 西安, 2021.06
作者:  Fan, Chen-Chen;  Xie, Haiqun;  Peng, Liang;  Yang, Hongjun;  Ni, Zhen-Liang;  Wang, Guan’an;  Zhou, Yan-Jie;  Chen, Sheng;  Fang, Zhijie;  Huang, Shuyun;  Hou, Zeng-Guang
Adobe PDF(1846Kb)  |  收藏  |  浏览/下载：166/49  |  提交时间：2023/06/02
Multi-target Coverage with Connectivity Maintenance using Knowledge-incorporated Policy Framework 会议论文
, Xi'an China, May 31-Jun. 4
作者:  Shiguang Wu;  Zhiqiang Pu;  Zhen Liu;  Tenghai Qiu;  Jianqiang Yi;  Tianle Zhang
Adobe PDF(12862Kb)  |  收藏  |  浏览/下载：290/48  |  提交时间：2022/04/06
Formation control with collision avoidance through deep reinforcement learning using model-guided demonstration 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2021, 卷号: 32, 期号: 6, 页码: 2358-2372
作者:  Zezhi Sui;  Zhiqiang Pu;  Jianqiang Yi;  Shiguang Wu
Adobe PDF(5344Kb)  |  收藏  |  浏览/下载：258/84  |  提交时间：2022/04/02
Collision avoidance  deep reinforcement learning (DRL)  formation control  leader–follower  
Environment Perception Technologies for Power Transmission Line Inspection Robots 期刊论文
JOURNAL OF SENSORS, 2021, 卷号: 2021, 页码: 16
作者:  Chen, Minghao;  Tian, Yunong;  Xing, Shiyu;  Li, Zhishuo;  Li, En;  Liang, Zize;  Guo, Rui
Adobe PDF(2248Kb)  |  收藏  |  浏览/下载：147/9  |  提交时间：2021/06/07
Robot learning through observation via coarse-to-fine grained video summarization 期刊论文
APPLIED SOFT COMPUTING, 2021, 卷号: 99, 期号: /, 页码: 106913
作者:  Zhang, Yujia;  Li, Qianzhong;  Zhao, Xiaoguang;  Tan, Min
Adobe PDF(5989Kb)  |  收藏  |  浏览/下载：379/80  |  提交时间：2021/03/08
Robotic vision  Learning through observation  Coarse-to-fine video summarization  
Real-Time Underwater Onboard Vision Sensing System for Robotic Gripping 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 页码: 11
作者:  Wang, Yu;  Tang, Chong;  Cai, Mingxue;  Yin, Jiye;  Wang, Shuo;  Cheng, Long;  Wang, Rui;  Tan, Min
收藏  |  浏览/下载：277/0  |  提交时间：2021/03/08
Real-time underwater vision sensing system  underwater object detection  underwater robotic gripping  underwater robots