SBIR/STTR Research Award

Autonomous Space Threat Avoidance and Course of Action (CoA) Generation System

Award identifier ce19c56e75e75ac3545bf63a8e2bf4d6305877d048dbfedb457f3fa2302a9638Awarding agency Department of Defense · Air Force

Award amount

$49,768

Program and phase

SBIR · Phase I

Award year

2021

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
KAYHAN SPACE CORP
Proposal award date
2021-02-08
Contract end date
2021-05-10
UEI
PQC6PKN6NK71
Solicitation number
X20.3
Topic code
AF203-CSO1

Research abstract

With extensive experience in spaceflight operations and machine learning, Kayhan Space proposes a game-changing method that will significantly improve the warfighter’s ability to detect and avoid threats to the U.S. space systems, rapidly and effectively. Our Autonomous Space Threat Avoidance CoA Generation System autonomously detects potential threats to space assets and generates optimal avoidance CoA that is consistent with real-world physical, and operational limitations. Kayhan will utilize advanced machine learning algorithms to detect and adjust for the realistic maneuver execution limitations.

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

8 SBIR/STTR records share this UEI (2020–2024). Reported award amounts total $1,591,022. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration

Agency intelligence

Department of Defense

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