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Optimized Planning and Tasking for the Intelligent Management of Unmanned…

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
83439
Program Year/Program:
2007 / STTR
Agency Tracking Number:
N074-019-0178
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Aptima, Inc.
12 Gill Street Suite 1400 Woburn, MA -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2007
Title: Optimized Planning and Tasking for the Intelligent Management of Unmanned Aerial Vehicles (OPTIM-UAV)
Agency / Branch: DOD / NAVY
Contract: N00014-07-M-0425
Award Amount: $70,000.00
 

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.

Principal Investigator:

Yuri Levchuk
Senior Engineer
2028421548
levchuk@aptima.com

Business Contact:

Margaret J. Clancy
Chief Financial Officer
7814962415
clancy@aptima.com
Small Business Information at Submission:

APTIMA, INC.
12 Gill Street Suite 1400 Woburn, MA 01801

EIN/Tax ID: 043281859
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
UNIV. OF IOWA
2130 Seamans Center
Iowa City, IA 52242
Contact: Twila Fisher Reighley
Contact Phone: (319) 335-2123
RI Type: Nonprofit college or university