Optimized Planning and Tasking for the Intelligent Management of Unmanned Aerial Vehicles (OPTIM-UAV)

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$70,000.00
Award Year:
2007
Program:
STTR
Phase:
Phase I
Contract:
N00014-07-M-0425
Award Id:
83439
Agency Tracking Number:
N074-019-0178
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
12 Gill Street, Suite 1400, Woburn, MA, 01801
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
967259946
Principal Investigator:
Yuri Levchuk
Senior Engineer
(202) 842-1548
levchuk@aptima.com
Business Contact:
Margaret Clancy
Chief Financial Officer
(781) 496-2415
clancy@aptima.com
Research Institution:
UNIV. OF IOWA
Twila Fisher Reighley
2130 Seamans Center
Iowa City, IA, 52242
(319) 335-2123
Nonprofit college or university
Abstract
Warfighters in small expeditionary units are faced with rapidly re-allocating and re-tasking multiple unmanned air vehicles to support time-critical intelligence needs, despite limitations in communications and resources. To meet these challenges, warfighters need model-based tools to optimize task allocation based expressly on operator intent and mission objectives, and these tools must be directly coupled with intuitive displays to support situation awareness. Building on the work of the MiDAS (Mission Displays for Autonomous Systems) project, we propose Optimized Planning and Tasking for the Intelligent Management of Unmanned Aerial Vehicles (OPTIM-UAV), an innovative method for optimizing asset allocation of UAVs through the definition of flexible control algorithms, which are shaped and informed by an abstraction hierarchy, or a framework of mission objectives and constraints. Collectively, these structures drive the design of a task allocation interface, ensuring the tight coupling between the optimization algorithms and the operator's understanding of the algorithmic output and mission space. In Phase I, we will collaborate with the University of Iowa to build a framework to model mission objectives and constraints; construct a set of flexible control algorithms to optimize task allocation; develop an innovative plan to link these structures; and demonstrate the functioning model and interface storyboards.

* information listed above is at the time of submission.

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