SBIR/STTR Research Award

Domain-Specific Modeling Environment for Autonomous System Demonstration and Experimentation

Award identifier 0c63a29c0b32a8d1d28b84584387ad6d8a55e957810331550ea21605f38256aeAwarding agency Department of Defense · Defense Threat Reduction Agency

Award amount

$149,700

Program and phase

SBIR · Phase I

Award year

2013

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Award details

Awarding agency
Department of Defense
Branch
Defense Threat Reduction Agency
Recipient company
TORC Robotics, INC.
Proposal award date
2013-05-01
Contract end date
2013-11-30
UEI
N3JJTR5FSM43
Solicitation number
2012.3
Topic code
OSD12-AU2

Research abstract

The TORC team, which includes Dr. Jonathan Sprinkle of the University of Arizona (UA), will develop enabling software and modeling methods for the Autonomous System Demonstration and Experimentation Workbench. The workbench will assist test engineers, systems engineers and analysts in designing and equipping autonomous unmanned vehicles for a variety of operations. The proposed work is based on over a decade of expertise in domain-specific modeling, autonomous vehicles, and software synthesis for large, complex systems. The team will design the workbench to serve both data input users - those who need to test and validate unmanned systems while extracting relevant information for the database - and data consumption users - those who need to use the workbench to perform systems engineering, missions CONOPS scenarios and other analytical tasks necessary to employ a highly complex unmanned, autonomous system.

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

5 SBIR/STTR records share this UEI (2009–2018). Reported award amounts total $3,151,947. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: Department of Defense

Agency intelligence

Department of Defense

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