SBIR-STTR Award

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Salvo Management Using Artificial Intelligence (SAM)
Award last edited on: 9/8/22

Sponsored Program
SBIR
Awarding Agency
DOD : MDA
Total Award Amount
$150,000
Award Phase
1
Solicitation Topic Code
MDA21-021
Principal Investigator
Perakath Benjamin

Company Information

Knowledge Based Systems Inc (AKA: KBSI~G&C Systems Inc~G & C Systems Inc)

1408 University Drive East
College Station, TX 77840
   (979) 260-5274
   products@kbsi.com
   www.kbsi.com
Location: Multiple
Congr. District: 17
County: Brazos

Phase I

Contract Number: HQ0860-22-C-7077
Start Date: 12/6/21    Completed: 6/5/22
Phase I year
2022
Phase I Amount
$150,000
KBSI proposes to develop an artificial intelligence/machine learning (AI/ML) based decision aid for salvo management of ground based mid-course interceptors of multiple types (varying capabilities and reliabilities) against raid scenario threats to the homeland. The proposed solution simulates realistic raid scenarios based on realistic but challenging adversary raid strategies. The optimal salvo plans are used to train AI/ML models that can perform dynamic planning i.e., updates to the salvos after launch (RoL). The trained models provide the warfighters and decision makers salvo plans based on most recent information about the raids. Approved for Public Release | 21-MDA-11013 (19 Nov 21)

Phase II

Contract Number: ----------
Start Date: 00/00/00    Completed: 00/00/00
Phase II year
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Phase II Amount
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