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sUAS Munition Teaming for Advanced Precision Strike
Award Information
Agency: Department of Defense
Branch: Special Operations Command
Contract: H9240522P0006
Agency Tracking Number: S21C-001-0022
Amount:
$149,917.02
Phase:
Phase I
Program:
STTR
Solicitation Topic Code:
SOCOM21C-001
Solicitation Number:
21.C
Timeline
Solicitation Year:
2021
Award Year:
2022
Award Start Date (Proposal Award Date):
2022-01-20
Award End Date (Contract End Date):
2022-07-31
Small Business Information
4800 Whitesburg Dr #30-353
Huntsville, AL
35802-1111
United States
DUNS:
021705731
HUBZone Owned:
No
Woman Owned:
No
Socially and Economically Disadvantaged:
No
Principal Investigator
Name: James Moore
Phone: (256) 975-4691
Email: sbir@socom.mil
Phone: (256) 975-4691
Email: sbir@socom.mil
Business Contact
Name: David R. Anderson
Phone: (256) 885-9794
Email: sbir@invariant-corp.com
Phone: (256) 885-9794
Email: sbir@invariant-corp.com
Research Institution
Name: The University of Memphis
Contact: Aaron Robinson
Address:
Phone: (901) 678-4996
Type: Nonprofit College or University
Contact: Aaron Robinson
Address:
315 Administration Building, Memphis, TN 38152
Memphis, TN
38152-3302
United States
Phone: (901) 678-4996
Type: Nonprofit College or University
Abstract
This task seeks to develop advanced teaming via machine learning between small unmanned air systems and Non Line-of-Sight (NLOS) munitions in GPS denied Environments. Current precision targeting capabilities are robust to state errors from ISR targeting platforms and weapons systems seeking to passively acquire a target. Visual Based Navigation (VBN) provides required state information in GPS denied environments and will be used to provide state information for precision targeting. Machine learning will be applied to extend targeting from multiple ISR platforms to create a larger and more detailed operating picture to a NLOS munition engaging a target.
* Information listed above is at the time of submission. *
