SBIR/STTR Research Award

Mission Assurance for Autonomy and Reinforcement Learning with Carnegie Mellon University

Award identifier 9678ea7dd0156df6ab97561420009b7b0098fcdbb023145bc06db92cdaadf9f2Awarding agency Department of Defense · Air Force

Award amount

$74,808

Program and phase

STTR · Phase I

Award year

2023

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
EDGE CASE RESEARCH INC
Proposal award date
2023-05-02
Contract end date
2023-08-04
UEI
HTS8PL9HG6Y1
Solicitation number
X23.D
Topic code
AFX23D-TCSO1

Research abstract

Reinforcement learning (RL) is key to high performance autonomous flight systems such as those fielded by Shield AI and others. RL is incompatible with safety / airworthiness standards such as MIL-STD-882E and DO-178C. We will bridge this gap with a novel

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

12 SBIR/STTR records share this UEI (2014–2026). Reported award amounts total $7,458,053. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration

Agency intelligence

Department of Defense

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