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A Fusion Measurement Method for Nano-displacement Based on Kalman Filter and Neural Network 期刊论文
International Journal of Robotics and Automation, 2021, 卷号: 36, 页码: 1-9
作者:  Zhang ZL(张灼亮);  Zhou C(周超);  Du ZM(杜章铭);  Deng L(邓露);  Cao ZQ(曹志强);  Wang S(王硕);  Cheng L(程龙);  Deng S(邓赛)
Adobe PDF(3806Kb)  |  收藏  |  浏览/下载：99/36  |  提交时间：2023/06/26
multi-rate fusion  state block  convolution filtering  nanoscale measurement  
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：262/85  |  提交时间：2022/04/02
Collision avoidance  deep reinforcement learning (DRL)  formation control  leader–follower  
An Underwater Micro Cable-Driven Pan-Tilt Binocular Vision System With Spherical Refraction Calibration 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 页码: 13
作者:  Qiu, Changlin;  Wu, Zhengxing;  Kong, Shihan;  Yu, Junzhi
Adobe PDF(2362Kb)  |  收藏  |  浏览/下载：202/18  |  提交时间：2021/11/04
Pan-tilt camera  target tracking  underwater measurement  underwater refraction correction  
Scene Coordinate Regression Network With Global Context-Guided Spatial Feature Transformation for Visual Relocalization 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2021, 卷号: 6, 期号: 3, 页码: 5737-5744
作者:  Guan, Peiyu;  Cao, Zhiqiang;  Yu, Junzhi;  Zhou, Chao;  Tan, Min
Adobe PDF(2399Kb)  |  收藏  |  浏览/下载：351/63  |  提交时间：2021/08/15
Scene coordinate regression network  global context  spatial feature transformation  visual relocalization  
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：383/80  |  提交时间：2021/03/08
Robotic vision  Learning through observation  Coarse-to-fine video summarization  
Object Reconstruction Based on Attentive Recurrent Network from Single and Multiple Images 期刊论文
NEURAL PROCESSING LETTERS, 2021, 期号: 53, 页码: 18
作者:  Gao, Zishu;  Li, En;  Wang, Zhe;  Yang, Guodong;  Lu, Jiwu;  Ouyang, Bo;  Xu, Dawei;  Liang, Zize
Adobe PDF(1338Kb)  |  收藏  |  浏览/下载：313/67  |  提交时间：2021/03/01
Object reconstruction  Convolutional LSTM  Visual attention  Robotic application