Robust Onboard Decision Making with Balanced Risk and Science Utility in Dynamic Mission Conditions

Develop an integrated multi-mission; robust autonomy architecture to enable rapid onboard response to i) off-nominal health conditions (e.g. power degradation) and ii) science observation opportunities (e.g. unique rock) in dynamic missions. Extend; integrate and test state-of-the-art flight-proven systems for task planning & execution and science target identification systems using a hardware-in-the-loop (HiL) autonomy testbed.

Establishes an integrated architecture to support the design and testing of autonomous flight systems that can rapidly respond in the presence of unpredictable failures; science opportunities or time-varying environmental conditions.

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