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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: N68335-17-C-0628
Agency Tracking Number: N17B-035-0084
Amount: $224,993.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N17B-T035
Solicitation Number: 2017.0
Solicitation Year: 2017
Award Year: 2017
Award Start Date (Proposal Award Date): 2017-09-11
Award End Date (Contract End Date): 2019-03-20
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
 Chris HolmesParker
 Staff Scientist
 (310) 756-0520
Business Contact
 Linda Papermaster
Phone: (310) 756-0520
Research Institution
 Washington State University
 Dr. Matthew Taylor
PO Box 642752 355 NE Spokane St. EME 102
Pullman, WA 99164
United States

 (509) 335-6457
 Nonprofit College or University

OKSI and Professor Matthew Taylor will develop the Cognitive Adaptation and Mission Optimization (CAMO) command and control tool for teams of UAS platforms. CAMO will incorporate existing databases (e.g., NASA population maps, FAA airspace maps, etc.) as well as real-time data from UAS into a learning-based cognitive control solution that maximizes mission performance while minimizing risk for a team of heterogeneous UAS. Our cognitive learning solution will leverage Decentralized Markov Decision Processes (DEC MDP) and Decentralized Partially Observable Markov Decision Process (DEC POMDP) algorithms to provide optimized cognitive planning for multiple UAS missions while providing an explicit probability outputs for anticipated mission performance / success.

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

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