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A Probabilistic Approach for Predicting Vessel Motion 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 8, 页码: 1877-1879
作者:  Qi Hu;  Jingyi Liu;  Zongyu Zuo
Adobe PDF(444Kb)  |  收藏  |  浏览/下载：12/5  |  提交时间：2024/07/16
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：48/19  |  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：42/15  |  提交时间：2024/06/07
Latent variable model  maximum entropy  multi-agent reinforcement learning (MARL)  multi-agent system  
A Non-Parametric Scheme for Identifying Data Characteristic Based on Curve Similarity Matching 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1424-1437
作者:  Quanbo Ge;  Yang Cheng;  Hong Li;  Ziyi Ye;  Yi Zhu;  Gang Yao
Adobe PDF(2544Kb)  |  收藏  |  浏览/下载：62/18  |  提交时间：2024/05/22
Curve similarity matching  Gaussian-like noise  non-parametric scheme  parzen window  
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：72/17  |  提交时间：2024/03/18
Agent-based modeling  computational experiments  cyber-physical-social systems (CPSS)  generative deduction  generative experiments  meta model  
A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 824-850
作者:  M. Victoria Luzón;  Nuria Rodríguez-Barroso;  Alberto Argente-Garrido;  Daniel Jiménez-López;  Jose M. Moyano;  Javier Del Ser;  Weiping Ding;  Francisco Herrera
Adobe PDF(4602Kb)  |  收藏  |  浏览/下载：55/17  |  提交时间：2024/03/18
Data privacy  distributed machine learning  federated learning  software frameworks  
What Does Sora Show: The Beginning of TAO to Imaginative Intelligence and Scenarios Engineering 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 809-815
作者:  Fei-Yue Wang;  Qinghai Miao;  Lingxi Li;  Qinghua Ni;  Xuan Li;  Juanjuan Li;  Lili Fan;  Yonglin Tian;  Qing-Long Han
Adobe PDF(571Kb)  |  收藏  |  浏览/下载：73/18  |  提交时间：2024/03/18
UAV-Assisted Dynamic Avatar Task Migration for Vehicular Metaverse Services: A Multi-Agent Deep Reinforcement Learning Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 430-445
作者:  Jiawen Kang;  Junlong Chen;  Minrui Xu;  Zehui Xiong;  Yutao Jiao;  Luchao Han;  Dusit Niyato;  Yongju Tong;  Shengli Xie
Adobe PDF(6097Kb)  |  收藏  |  浏览/下载：95/21  |  提交时间：2024/01/23
Avatar  blockchain  metaverses  multi-agent deep reinforcement learning  transformer  UAVs  
Advancements in Humanoid Robots: A Comprehensive Review and Future Prospects 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 301-328
作者:  Yuchuang Tong;  Haotian Liu;  Zhengtao Zhang
Adobe PDF(7587Kb)  |  收藏  |  浏览/下载：172/51  |  提交时间：2024/01/23
Future trends and challenges  humanoid robots  human-robot interaction  key technologies  potential applications  
Autonomous Vehicle Platoons In Urban Road Networks: A Joint Distributed Reinforcement Learning and Model Predictive Control Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 141-156
作者:  Luigi D’Alfonso;  Francesco Giannini;  Giuseppe Franzè;  Giuseppe Fedele;  Francesco Pupo;  Giancarlo Fortino
Adobe PDF(7491Kb)  |  收藏  |  浏览/下载：252/140  |  提交时间：2024/01/02
Distributed model predictive control  distributed reinforcement learning  routing decisions  urban road networks