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STOCOTA: Software Toolkit for the Operational Control of Tactical Autonomy

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911W6-12-C-0017
Agency Tracking Number: A113-131-0035
Amount: $99,923.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: A11-131
Solicitation Number: 2011.3
Timeline
Solicitation Year: 2011
Award Year: 2012
Award Start Date (Proposal Award Date): 2012-01-30
Award End Date (Contract End Date): N/A
Small Business Information
625 Mount Auburn Street
Cambridge, MA -
United States
DUNS: 115243701
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Daniel Stouch
 Principal Software Engineer
 (617) 491-3474
 dstouch@cra.com
Business Contact
 Mark Felix
Title: Contracts Manager
Phone: (617) 491-3474
Email: mfelix@cra.com
Research Institution
 Stub
Abstract

Army aviation remains critical to the success of military operations, but as technology advances and enemies adapt, its traditional operational concepts must evolve for continued success. Aviators possess a level of situational awareness and tactical insight that makes them good candidates to coordinate unmanned systems during tactical reconnaissance, transport, and attack missions. The integration of manned and unmanned operations is limited by: (1) the cognitive challenges of the operator; (2) the capability to encode tactics, techniques, and procedures (TTPs) for autonomous vehicles; and (3) the adaptability of these to enemies"changing tactics. To address these issues, we propose a Software Toolkit for the Operational Control of Tactical Autonomy. STOCOTA is a tactical management system for planners to specify, adapt, and validate TTPs that also enables army aviators to effectively employ and coordinate UAVs using encoded and configurable autonomous control instructions (ACIs). Our system consists of: (1) the capability to encode TTPs into autonomous ACIs; (2) a component for aviators to pass instructions to UAVs that support their tactical missions; (3) an ecological user interface with adaptive-complexity; and (4) a simulation component to validate the ACIs and determine if they perform as expected.

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

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