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Cognitive Adaptation and Mission Optimization (CAMO) for Autonomous Teams of UAS Platforms

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-19-C-0138
Agency Tracking Number: N17B-035-0084
Amount: $749,997.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: N17B-T035
Solicitation Number: 17.B
Solicitation Year: 2017
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-02-14
Award End Date (Contract End Date): 2021-11-05
Small Business Information
19805 Hamilton Ave
Torrance, CA 90502
United States
DUNS: 625511050
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Christopher Holmesparker
 Staff Scientist
 (310) 756-0520
Business Contact
 Nahum Gat
Phone: (310) 756-0520
Research Institution
 Washington State University
 Matt Michener Matt Michener
PO Box 642752 355 NE Spokane St. EME 102
Pullman, CA 99164
United States

 (509) 335-9661
 Nonprofit College or University

The Navy needs cognitive control capabilities that enable an autonomous robotic team comprised of a ground control station node and a team of UAS platforms to operate independently (or with minimal human oversight) while carrying out complex missions. A cognitive control capability needs to be developed that concurrently optimizes the balance of mission risk / performance with respect to the Navy’s mission objectives, while addressing the vehicle management, mission planning, and mission management portions of the command and control cycle for the team of UAS’. Furthermore, the cognitive control algorithm must be capable of learning in the sense that it should be able to continuously incorporate new updated information into its existing model(s) / control solution(s) to improve future mission performance. The proposed solution must enable a single ground control station or operator to simultaneously manage the missions of at least six UAS platforms, but should be readily scalable to hundreds of UAS platforms. TO this end, OKSI and WSU are partnering together to develop a Cognitive Adaptation and Mission Optimization (CAMO) capability for controlling teams of UAS platforms.

* Information listed above is at the time of submission. *

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