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English(EN) AERIS: Offline Policy Improvement for Multi-UAV Integrated Sensing and Communication

新的AERIS框架增强了多无人机感知与通信能力

研究人员开发了AERIS,一个专为多无人机(UAV)系统中的集成感知与通信(ISAC)设计的离线策略改进框架。该方法从现有的飞行日志中学习,允许单个无人机进行去中心化执行,同时利用全局数据进行训练以评估团队层面的影响。该框架包含STAR-CRDT算法,该算法能够优化局部动作并仅提炼可靠的改进供去中心化执行者使用,为离线策略改进提供了保证。实验证明,在ISAC目标、通信速率、感知可靠性方面取得了显著的提升,并且在真实世界地图上碰撞风险也得到了大幅降低。 AI

排序理由 该集群包含一篇详细介绍无人机系统新框架和算法的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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新的AERIS框架增强了多无人机感知与通信能力

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该集群包含一篇详细介绍无人机系统新框架和算法的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Ziyuan Wang (Steven), Yifan Sui (Steven), Wei Wei (Steven), Wenjie Xin (Steven), Zekai Zhang (Steven), Xiangwang Hou (Steven), Xiao-Ping (Steven), Zhang ·

    AERIS:多无人机一体化感知与通信的离线策略改进

    arXiv:2608.25477v1 Announce Type: cross Abstract: Unmanned aerial vehicle (UAV)-enabled integrated sensing and communication (ISAC) is a promising 6G paradigm, but dynamic multi-UAV ISAC control must jointly balance communication quality, sensing reliability, and flight safety un…