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

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-07-M-0425
Agency Tracking Number: N074-019-0178
Amount: $70,000.00
Phase: Phase I
Program: STTR
Awards Year: 2007
Solicitation Year: 2007
Solicitation Topic Code: N07-T019
Solicitation Number: N/A
Small Business Information
12 Gill Street, Suite 1400, Woburn, MA, 01801
DUNS: 967259946
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Yuri Levchuk
 Senior Engineer
 (202) 842-1548
 levchuk@aptima.com
Business Contact
 Margaret Clancy
Title: Chief Financial Officer
Phone: (781) 496-2415
Email: 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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