English(EN) Trust-Aware Sequential Decision Making and Rollout Planning for Resilient Multi-Robot Systems

新型信任感知系统增强多机器人系统对抗GPS欺骗的弹性

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-26 12:09

研究人员开发了一种新的多机器人系统策略，以保持其在代理受损情况下的弹性。该方法包含一个信任感知监控器，该监控器结合了经过真实GPS欺骗数据校准的概率定位信任以及来自任务执行的行为证据，以识别和移除敌对者。此方法旨在恢复规划模型与物理执行之间可能被欺骗攻击破坏的一致性，从而实现稳定的路由并提高相对于基线策略的性能。使用真实GPS欺骗数据集和旧金山出租车需求数据进行的实验证明了该检测和路由策略在各种对抗条件下的有效性。 AI

影响这项研究可能有助于在通信或定位完整性受损的情况下，实现更强大的自主系统。

排序理由详细介绍多机器人系统新方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.MA (Multiagent) 阅读 →

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arXiv cs.MA (Multiagent) TIER_1 English(EN) · Stephanie Gil · 2026-08-26 12:09

面向弹性多机器人系统的信任感知序贯决策与部署规划

Sequential decision-making in multi-robot systems typically assumes that planning information is reliable and that agents execute the actions anticipated by the planner. Compromised agents can violate both assumptions, creating a mismatch between the planning model and physical e…

本文如何被排名

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面向弹性多机器人系统的信任感知序贯决策与部署规划

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