AutoLab：面向无线网络运行世界模型的互联网可访问实验平台
AutoLab: An Internet-Accessible Experimental Platform for Operational World Models in Wireless Networks
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中文总结 AI 辅助
本文提出AutoLab，一个互联网可访问的实验平台，为无线网络运行世界模型提供物理交互、经验记录与反馈基础设施，支持远程实验、集中调度和误差纠正。
中文摘要 AI 辅助
运行世界模型（OWM）需要与物理世界进行结构化交互：它们必须观察运行状态、施加受控动作、测量后果、保存经验，并利用这些经验支持预测和预防性决策。本文介绍了Autolab，一个互联网可访问的实验平台，为无线网络OWM提供这些物理接地功能。远程研究人员可以检查实时测试站点，重建最近的状态历史，编写包含机器人、接入点、无线扫描和流量操作的时间有序实验，在本地验证，并提交相同的显式契约进行注册。在物理站点，一个集中式网络管理系统（NMS）重新验证并调度实验，协调分布式设备代理，从原始相机观测中估计机器人位置，监督物理执行，并记录测量值和诊断状态。相同的Python验证规则用于编写和注册边界，而目的地级命令将互联网用户与低级设备控制隔离。一条端到端的移动轨迹演示了NMS如何检测大的物理移动误差，发出纠正运动，并恢复预期的实验轨迹，而不会将该误差暴露给脚本编写者或机器人代理。因此，Autolab贡献了一个可复现的互联网到物理实验和反馈基础设施，而不是声称完成了一个自主OWM。其结构化的时空记录提供了持续研究生成场景、预测风险评估和预防性无线网络管理所需的经验。
英文摘要
Operational World Models (OWMs) require structured interaction with the physical world: they must observe operational state, impose controlled actions, measure consequences, preserve experience, and use that experience to support prediction and preventive decision making. This paper presents Autolab, an Internet-accessible experimental platform that provides these physical grounding functions for wireless-network OWMs. A remote researcher can inspect a live test site, reconstruct recent state history, author a time-ordered experiment containing robot, access-point, wireless-scan, and traffic operations, validate it locally, and submit the same explicit contract for registration. At the physical site, a centralized network management system (NMS) revalidates and schedules the experiment, coordinates distributed device agents, estimates robot location from raw camera observations, supervises physical execution, and records measurements and diagnostic state. The same Python validation rules are used at the authoring and registration boundaries, while destination-level commands isolate Internet users from low-level device control. An end-to-end mobility trace demonstrates how the NMS detects a large physical movement error, issues corrective motion, and restores the intended experiment trajectory without exposing that error to the script writer or robot agent. Autolab therefore contributes a reproducible Internet-to-physical experimentation and feedback infrastructure, rather than claiming a completed autonomous OWM. Its structured spatial--temporal records provide the experience needed for continuing work on generative scenarios, predictive risk evaluation, and preventive wireless-network management.
发表机构
- WNC Corporation（WNC公司）
机构由 AI 辅助整理，请以论文原文为准。
