arXiv · cs.AI · Kai Tian, Jialun Wang, Chuan Lin, Guangjie Han, Shengchao Zhu, Ying Liu, Qian Zhu2026-11-04 13:00 · 5 小时前模型评分28

基于场景自适应具身智能的多AUV自组网多目标跟踪架构

Multi-AUV Ad-hoc Networks-Based Multi-Target Tracking Based on Scene-Adaptive Embodied Intelligence

导读

研究提出面向多自主水下航行器（AUV，Autonomous Underwater Vehicle）自组网的场景自适应具身智能架构，将感知、决策与物理执行整合为统一认知闭环，并定义基于信标的通信与控制模型。

分类置信度

中 · 待人工复核

来源级别：媒体与个人

应用领域：交通与物流

事件类型：研究发布

证据摘录

“This article proposes a scene-adaptive embodied intelligence (EI) architecture for multi-AUV ad-hoc networks, which re-envisions AUVs as embodied entities by integrating perception, decision-making, and physical execution into a unified cognitive loop.”

来源：arXiv · cs.AI · arxiv.org