English(EN) EARS-Info: Information-Aware Event-Driven Reallocation for Multi-Robot Exploration

新型EARS-Info系统提升多机器人探索效率

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-27 22:51

研究人员开发了EARS-Info，一个显著优于先前方法的先进多机器人探索系统。这个信息感知型的事件驱动式蚂蚁重分配搜索（Event-Driven Ant Reallocation Search）的扩展集成了多项关键功能，包括边际感知增益、可行重定位和考虑返回的路由。在八个城市地图上的广泛模拟中，EARS-Info展示了卓越的性能，在所有评估中均取得了最高平均运行得分，并且即使在通信中断的情况下，加权发现率也显著提高。 AI

影响增强了多机器人系统中的协调和效率，可能影响物流和自主运营。

排序理由这是一篇详细介绍多机器人探索新算法的研究论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.MA (Multiagent) 阅读 →

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Newsworthiness bucket: Tool; 这是一篇详细介绍多机器人探索新算法的研究论文。[lever_c_demoted from research: ic=1 ai=0.7]
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arXiv cs.MA (Multiagent) TIER_1 English(EN) · Kyandoghere Kyamakya · 2026-10-27 22:51

EARS-Info：面向多机器人探索的信息感知事件驱动式重新分配

We introduce EARS-Info, an information-aware extension of Event-Driven Ant Reallocation Search for multi-robot exploration on OpenStreetMap-derived grids. It combines marginal sensing gain, feasible relocation, return-aware routing, sensing reservations, and cached shortest paths…

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EARS-Info：面向多机器人探索的信息感知事件驱动式重新分配

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