SBIR/STTR Research Award

Autonomous Mission Management for Satellite Systems

Award identifier 9519f74d19e48efcb94632a48a225120c4e03bca49f7883264f3ac2c5e52ff59Awarding agency Department of Defense · Air Force

Award amount

$749,642

Program and phase

SBIR · Phase II

Award year

2010

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
Traclabs Inc.
Proposal award date
2010-03-02
Contract end date
2012-06-04
UEI
CEL6Q7QSVHA7
Solicitation number
2008.3
Topic code
AF083-196

Research abstract

Satellite intelligence information is being used increasingly for real-time operations. This requires satellites that can be quickly tasked for new objectives and that can respond to opportunistic situations and external threats. The usefulness of satellites and satellite information would be increased if the satellites could respond quickly and effectively with limited ground operator interaction. In addition, because satellites are increasingly important to modern warfare they also face increasing threats from anti-satellite weapons. Thus, they need a means to effectively and autonomously respond to these threats. This proposal offers an integrated planning and scheduling architecture for autonomously managing satellite missions called the Highly Autonomous Mission Manager for Event Response (HAMMER) system. The HAMMER system will allow a satellite to operate and respond to threats even when it is not in communication with the ground or when time constraints require immediate response to threats. The HAMMER system will attempt to meet mission objectives even in the face of threats. HAMMER will prioritize multiple, competing user goals and requests and determine an optimal ordering of satellite tasks to conserve resources and maximize capability. HAMMER will also ensure that the plan is safe from known threats to the satellite. BENEFIT: This proposal will produce a collection of software components that will enable the automation of vehicles such as satellites, unmanned vehicles (e.g., unmanned air vehicles (UAVs), unmanned ground vehicles (UGVs), unmanned surface vehicles (USVs), etc.), and manned vehicles (e.g., aircraft, spacecraft, ships, etc.). DOD applications include the Air Force Satellite Control Network (AFSCN), the Air Force Operationally Responsive Space (ORS) program, programs such as Global Hawk and Predator UAVs, Joint STARS ground surveillance systems and various ELINT/COMINT assets, the Navy Littoral Combat Ship (LCS) and the Army Future Combat Systems (FCS) program. NASA has similar needs to DOD in enabling more autonomy for both manned and unmanned spacecraft. Commercial aerospace companies operate numerous satellites for communication, navigation and imaging. These satellites systems are currently controlled from the ground operations. Increasing the autonomy of these satellites can save money and improve efficiency.

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

113 SBIR/STTR records share this UEI (2007–2025). Reported award amounts total $37,159,143. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: National Aeronautics and Space Administration, Department of Defense, National Science Foundation

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.