已选(0)清除
条数/页: 排序方式: |
| 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 |
| 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:56/20  |  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:45/15  |  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:46/19  |  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:47/11  |  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:59/23  |  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:53/13  |  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:59/7  |  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:71/17  |  提交时间:2024/03/18 Agent-based modeling computational experiments cyber-physical-social systems (CPSS) generative deduction generative experiments meta model |