外观
论文arXiv 2610.2043314 天前
航天器自主性的增量测试与技术成熟实用框架
原文链接：A Practical Framework for Incremental Testing and Technology Maturation of Spacecraft Autonomy（arXiv 2610.20433 · 发布日期：2026-10-14）
A Practical Framework for Incremental Testing and Technology Maturation of Spacecraft Autonomy
论文面向AI航天器自主部署的信任鸿沟，提出离线地面测试与在线飞行监测结合的验证框架，并在强化学习姿态控制案例中展示。
核心要点
- 动机是降低AI赋能航天器自主系统部署中的信任鸿沟与高风险运行安全顾虑。
- 方法将仿真、PIL、HIL、机器人仿真测试到飞行验证串联，并强调各阶段闭环行为测试。
- 在线阶段使用AI watchdog进行性能监测，并以安全护栏实时执行约束。
- 通过强化学习姿态控制案例展示框架，并整合AI watchdog与运行时保障以应对Sim-to-Real挑战。
验证范围与局限：验证范围描述为强化学习姿态控制案例，摘要未说明具体航天器平台或任务数量。
英文摘要 (Abstract)
This paper addresses the "trust gap" in deploying AI-enabled spacecraft autonomy through an integrated verification framework combining offline ground testing with online flight monitoring. The offline phase progresses systematically through simulation studies, processor-in-the-loop (PIL), hardware-in-the-loop (HIL), and robotic emulation testing, culminating in flight validation. The online phase employs AI watchdog systems for performance monitoring and safety guardrails for real-time constraint enforcement. Key contributions include: (1) systematic organization of verification techniques emphasizing closed-loop behavioral testing at each phase, (2) integration of AI watchdogs with runtime assurance, and (3) demonstration of the framework through a reinforcement learning-based attitude control case study. This approach integrates mature technologies to provide a viable pathway for safe deployment of AI-enabled autonomy in high-consequence space operations while addressing simulation-to-reality transfer challenges.
作者：Kerianne L. Hobbs, Ben Bycroft, Pamela Wood, Mathew Ward Bissonnette, M. J. Durst, Kimberly A. Sover, Alexandra Mangel, Gabriel Behrendt, Upneet Singh, Juan Rodríguez
来源
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