The rapid expansion of the Low-Altitude Economy (LAE) necessitates highly reliable coordination among autonomous aerial agents (AAAs). Traditional reactive communication paradigms in 6G networks are increasingly susceptible to stochastic network jitter and intermittent signaling silence, especially within complex urban canyon environments. To address this connectivity gap, this paper introduces the Embodied Proactive Inference for Coordination (EPIC) framework, featuring a Spatio-Temporal Semantic Inference (STSI) operator designed to decouple the coordination loop from physical signaling fluctuations. By projecting stale peer observations into a proactive belief manifold, EPIC maintains a deterministic reaction latency regardless of the network state. Extensive simulations demonstrate that EPIC achieves an average 93.5% reduction in end-to-end reaction latency, masking physical transmission delays of 150 ms with a deterministic 10 ms execution heartbeat. Crucially, EPIC exhibits strategic immunity to escalating network jitter up to 100 ms and improves the Weighted Coverage Efficiency (WCE) by 10.5% during extreme signaling silence lasting up to 50 s. These results provide the deterministic resilience essential for 6G Hyper-Reliable and Low-Latency Communication (HRLLC).

翻译：低空经济（LAE）的快速发展要求自主空中代理（AAA）之间实现高度可靠的协调。传统6G网络中的反应式通信范式极易受到随机网络抖动和间歇性信令静默的影响，尤其是在复杂的城市峡谷环境中。为弥补这一连接性缺口，本文提出了具身主动推理协调（EPIC）框架，其核心是一种旨在将协调环路与物理信令波动解耦的时空语义推理（STSI）算子。通过将过时的同伴观测信息投影至主动信念流形，EPIC能够维持与网络状态无关的确定性反应延迟。大量仿真结果表明，EPIC将端到端反应延迟平均降低了93.5%，以10毫秒的确定性执行心跳掩盖了150毫秒的物理传输延迟。至关重要的是，EPIC对高达100毫秒的递增网络抖动展现出战略性免疫能力，并在长达50秒的极端信令静默期间将加权覆盖效率（WCE）提升了10.5%。这些结果为6G超可靠低时延通信（HRLLC）提供了所需的确定性韧性。