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Multi-Robot Collaborative Hunting in Cluttered Environments With Obstacle-Avoiding Voronoi Cells 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1643-1655
作者:  Meng Zhou;  Zihao Wang;  Jing Wang;  Zhengcai Cao
Adobe PDF(3022Kb)  |  收藏  |  浏览/下载：34/16  |  提交时间：2024/06/07
Dynamic obstacle avoidance  multi-robot collaborative hunting  obstacle-avoiding Voronoi cells  task allocation  
Discovering Latent Variables for the Tasks With Confounders in Multi-Agent Reinforcement Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1591-1604
作者:  Kun Jiang;  Wenzhang Liu;  Yuanda Wang;  Lu Dong;  Changyin Sun
Adobe PDF(2128Kb)  |  收藏  |  浏览/下载：32/11  |  提交时间：2024/06/07
Latent variable model  maximum entropy  multi-agent reinforcement learning (MARL)  multi-agent system  
Adaptive Space Expansion for Fast Motion Planning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1499-1514
作者:  Shenglei Shi;  Jiankui Chen
Adobe PDF(4194Kb)  |  收藏  |  浏览/下载：46/17  |  提交时间：2024/05/22
Adaptive space expansion (ASE)  hyper-ellipsoid ring  informed sampling  motion planning  
Industry-oriented Detection Method of PCBA Defects Using Semantic Segmentation Models 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1438-1446
作者:  Yang Li;  Xiao Wang;  Zhifan He;  Ze Wang;  Ke Cheng;  Sanchuan Ding;  Yijing Fan;  Xiaotao Li;  Yawen Niu;  Shanpeng Xiao;  Zhenqi Hao;  Bin Gao;  Huaqiang Wu
Adobe PDF(12898Kb)  |  收藏  |  浏览/下载：34/8  |  提交时间：2024/05/22
Automated optical inspection (AOI)  deep learning  defect detection  printed circuit board assembly (PCBA)  semantic segmentation  
Hyperbolic Tangent Function-Based Protocols for Global/Semi-Global Finite-Time Consensus of Multi-Agent Systems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1381-1397
作者:  Zongyu Zuo;  Jingchuan Tang;  Ruiqi Ke;  Qing-Long Han
Adobe PDF(3135Kb)  |  收藏  |  浏览/下载：33/14  |  提交时间：2024/05/22
Consensus protocol  finite-time consensus  hyperbolic tangent function  multi-agent systems  
Asynchronous learning-based output feedback sliding mode control for semi-Markov jumpsystems: A descriptor approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1358-1369
作者:  Zheng Wu;  Yiyun Zhao;  Fanbiao Li;  Tao Yang;  Yang Shi;  Weihua Gui
Adobe PDF(2638Kb)  |  收藏  |  浏览/下载：38/9  |  提交时间：2024/05/22
Asynchronous switching  learning-based control  output feedback  semi-Markovian jump systems  sliding mode control (SMC)  
Mapping Network-coordinated Stacked Gated Recurrent Units for Turbulence Prediction 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1331-1341
作者:  Zhiming Zhang;  Shangce Gao;  MengChu Zhou;  Mengtao Yan;  Shuyang Cao
Adobe PDF(7172Kb)  |  收藏  |  浏览/下载：41/15  |  提交时间：2024/05/22
Convolutional neural network  deep learning  recurrent neural network  turbulence prediction  wind load prediction  
MAUN: Memory-Augmented Deep Unfolding Network for Hyperspectral Image Reconstruction 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1139-1150
作者:  Qian Hu;  Jiayi Ma;  Yuan Gao;  Junjun Jiang;  Yixuan Yuan
Adobe PDF(10937Kb)  |  收藏  |  浏览/下载：45/11  |  提交时间：2024/04/10
Compressive imaging  deep unfolding network hyperspectral image  
Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1106-1126
作者:  Wenqi Ren;  Yang Tang;  Qiyu Sun;  Chaoqiang Zhao;  Qing-Long Han
Adobe PDF(12695Kb)  |  收藏  |  浏览/下载：49/5  |  提交时间：2024/04/10
Computer vision  deep learning  few-shot learning  low-shot learning  semantic segmentation  zero-shot learning  
Computational Experiments for Complex Social Systems: Experiment Design and Generative Explanation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 1022-1038
作者:  Xiao Xue;  Deyu Zhou;  Xiangning Yu;  Gang Wang;  Juanjuan Li;  Xia Xie;  Lizhen Cui;  Fei-Yue Wang
Adobe PDF(7239Kb)  |  收藏  |  浏览/下载：64/15  |  提交时间：2024/03/18
Agent-based modeling  computational experiments  cyber-physical-social systems (CPSS)  generative deduction  generative experiments  meta model