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| Multi-robot cooperative target encirclement through learning distributed transferable policy 会议论文 , Online, July 19-24 作者: Zhang Tianle; Liu Zhen; Wu Shiguang; Pu Zhiqiang; Yi Jianqiang Adobe PDF(949Kb)  |  收藏  |  浏览/下载:232/72  |  提交时间:2022/06/16 |
| A hybrid formation control design for multi-robot system with obstacle avoidance 会议论文 , Guangzhou, July 27-30 作者: Wu Shiguang; Sui Zezhi; Yi Jianqiang; Pu Zhiqiang Adobe PDF(751Kb)  |  收藏  |  浏览/下载:178/59  |  提交时间:2022/06/16 |
| Multi-agent Collaborative Learning with Relational Graph Reasoning in Adversarial Environments 会议论文 , 线上会议, 2021-9 作者: Wu Shiguang; Qiu Tenghai; Pu Zhiqiang; Yi Jianqiang Adobe PDF(1396Kb)  |  收藏  |  浏览/下载:278/81  |  提交时间:2022/06/16 |
| 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:299/50  |  提交时间:2022/04/06 |
| Adaptive flocking of multi-agent system with uncertain nonlinear dynamics and unknown disturbances using neural networks 会议论文 , Online, August 20-21 作者: Shiguang Wu; Zhiqiang Pu; Jianqiang Yi; Jinlin Su; Tianyi Xiong; Tenghai Qiu Adobe PDF(2014Kb)  |  收藏  |  浏览/下载:205/66  |  提交时间:2022/04/06 |
| Deep reinforcement learning based multi-target coverage with connectivity guaranteed 期刊论文 IEEE Transactions on Industrial Informatics, 2022, 期号: 2022, 页码: 1-12 作者: Shiguang Wu; Zhiqiang Pu; Tenghai Qiu; Jianqiang Yi; Tianle Zhang Adobe PDF(15731Kb)  |  收藏  |  浏览/下载:294/36  |  提交时间:2022/04/02 Multi-target coverage multi-robot system connectivity maintenance deep reinforcement learning |
| 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:268/87  |  提交时间:2022/04/02 Collision avoidance deep reinforcement learning (DRL) formation control leader–follower |