SBIR/STTR Research Award
MDA21-021 - Salvo Management Using Artificial Intelligence
Award amount
$159,991Program and phase
SBIR · Phase IAward year
2022Award details
- Awarding agency
- Department of Defense
- Branch
- Missile Defense Agency
- Recipient company
- Reservoir Labs, Inc.
- Proposal award date
- 2021-12-06
- Contract end date
- 2022-06-05
- UEI
- J4DVUAMQJMW7
- Solicitation number
- 21.2
- Topic code
- MDA21-021
Research abstract
Reservoir Labs proposes REASON-GFC (The Reservoir Assignment System for Optimal Intercept, for Ground-based Fire Control), an effort that will solve the problem of dynamic battle management, informing salvo management and ground based fire control asset usage with multiple plans for the warfighter to choose from. The innovative use of logical-constraint solving (SATisfiability) to find, in real-time, feasible asset-pairing solutions to problems scaling through hundreds of coordinated assets, update that solution in response to a highly dynamic environment, and, through the use of Smart Repair, provide the warfighter with a choice of battle plans for implementation, will give the DoD a flexible, configurable tool for tasking missile defense for homeland and asset defense. Approved for Public Release | 21-MDA-11013 (19 Nov 21)
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.
- Correlating and Analyzing Network Data through Interpretable Decompositions (CANDID)
- Technologies for Sharing Network Performance Data (TEECODE)
- GEO-M2M: GEOmaterials' Microscopic TO Macroscopic (electromagnetic response)
- Portacy: Enabling Advanced Exascale Mapping Tool to Assist in Porting Legacy Codes
- Flow Ordering and Hierarchical Bottleneck Identification for High Speed Data Networks
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Salvo Management Using Artificial Intelligence
- Salvo Management Using Artificial Intelligence (SAM)
- Salvo Management Using Artificial Intelligence
- Reinforcement Learning for Intelligent Salvo Management (RLISM)
Research funding history
71 SBIR/STTR records share this UEI (2004–2022). Reported award amounts total $38,801,244. Reported amounts are not federal obligations.
Phases: Phase I, Phase II
Agencies: Department of Defense, Department of Energy