Task Examination/Aggregation/Learning (TEAL) to Support Adjustable Autonomy

Award Information
Agency: Department of Defense
Branch: Army
Contract: W56HZV-07-C-0516
Agency Tracking Number: A062-202-1397
Amount: $725,059.00
Phase: Phase II
Program: SBIR
Awards Year: 2007
Solicitation Year: 2006
Solicitation Topic Code: A06-202
Solicitation Number: 2006.2
Small Business Information
3600 Green Court, Suite 600, Ann Arbor, MI, 48105
DUNS: 009485124
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Robert Bechtel
 Senior Scientist
 (734) 327-8000
Business Contact
 James Rosbe
Title: President
Phone: (734) 327-8000
Email: rosbe@soartech.com
Research Institution
Future Combat Systems are envisioned as a networked system of systems that will integrate tomorrow’s soldier with families of manned and unmanned platforms and sensors. However, tele-operated and pre-FCS legacy systems will need to be upgraded to be sophisticated and “intelligent” enough to interact within FCS. A practical pathway to achieve such upgrades is to add the required functionality into Operator Control Units (OCUs), leaving the vehicles themselves unchanged while providing operators with high level commands that better match desired tasking. In Phase I, the Soar Technology team designed, implemented, and demonstrated an initial version of the Task Examination, Aggregation and, Learning (TEAL) concept to develop higher-level commands from observed sequences of existing unmanned vehicle commands, incorporating user command validation to ensure that newly added commands are useful. For Phase II, we will transform the TEAL approach demonstrated in Phase I into a robust, independent reasoning software module with a well-defined application programming interface (API) that can be usefully and easily integrated into a wide variety of OCUs, produced by multiple OCU vendors, and will demonstrate the TEAL functionality used in the control of physical robots.

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

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