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English(EN) Sensor-Driven Mission Synthesis for UAV/UGV Swarms: A TB-CSPN Coordination Architecture with Hardware-Enforced Safety

新的TB-CSPN架构支持安全的无人机/无人车集群协调

研究人员为异构无人机/无人车集群开发了一种名为TB-CSPN的新型协调架构。该系统从包括雷达、射频、声学和视觉输入在内的多模态传感器数据合成任务动作,同时确保执行边界的硬件强制安全性。该架构分离了解释、协调和执行,以创建可审计的决策路径,并集成独立的模拟安全包,以防止不安全执行器命令,从而提高在受干扰环境中的弹性。 AI

影响 该架构可以提高自主机器人系统在复杂操作环境中的可靠性和安全性。

排序理由 该集群包含一篇详细介绍人工智能驱动系统新技术架构的研究论文。

在 arXiv cs.AI 阅读 →

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新的TB-CSPN架构支持安全的无人机/无人车集群协调

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该集群包含一篇详细介绍人工智能驱动系统新技术架构的研究论文。
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Uwe M. Borghoff, Paolo Bottoni, Remo Pareschi ·

    面向无人机/无人车集群的传感器驱动任务综合:具有硬件强制安全性的TB-CSPN协调架构

    arXiv:2608.14306v1 Announce Type: new Abstract: This paper presents a coordination architecture for heterogeneous UAV/UGV swarms that synthesises mission actions from uncertain, multi-modal sensor evidence while preserving hardware-enforced safety at the actuation boundary. The a…