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This paper describes the decion-making architecture for an autonomous airborne scientist that closes planning loops over high fidelity weather models. The autonomy architecture exploits: local computing on the aircraft; edge computing in the field; and cloud computing accessible through the Internet, and other sensing and computing at fixed sites. This paper describes strategic-level information-space planning for determining where to fly and when to release air-launched drifters and tactical-level motion planning in complex flow fields.

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Autonomous Planning for Targeted Observation of Severe Weather

  • 会议论文

  • 发表日期：

    2026年

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  • Michael Moncton,
  • Himanshu Gupta,
  • Zachary Sunberg,
  • Eric Frew

摘要

This paper describes the decion-making architecture for an autonomous airborne scientist that closes planning loops over high fidelity weather models. The autonomy architecture exploits: local computing on the aircraft; edge computing in the field; and cloud computing accessible through the Internet, and other sensing and computing at fixed sites. This paper describes strategic-level information-space planning for determining where to fly and when to release air-launched drifters and tactical-level motion planning in complex flow fields.