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Rugged Automated Training System

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911NF-11-C-0220
Agency Tracking Number: A11A-019-0425
Amount: $99,381.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: A11a-T019
Solicitation Number: 2011.A
Solicitation Year: 2011
Award Year: 2011
Award Start Date (Proposal Award Date): 2011-08-26
Award End Date (Contract End Date): N/A
Small Business Information
46561 Expedition Drive Suite 100
Lexington Park, MD 20653-2118
United States
DUNS: 619354488
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Patrick Madorin
 Senior Systems Engineer
 (301) 880-3341
Business Contact
 Thomas Sanders
Title: Managing Director
Phone: (301) 880-3341
Research Institution
 Bucknell University
 Kevin Myers
Moore Aveune
Lewisburg, PA 17837-
United States

 (570) 577-3493
 Nonprofit College or University

Hostile conflicts leave behind millions of armed landmines in developing countries throughout the globe. Humanitarian demining is hazardous and labor intensive. A promising development in landmine detection is using small, olfactory sensitive animals trained to act as biosensor detectors. But current methods require skilled trainers following strict protocols, and this extensive time and effort is a limiting step in using animals for landmine detection. In addition, trainer skill level, attention to procedures, and animal performance record keeping all introduce unwanted variables into the process. A rugged automated trainer system is a solution that will provide increased consistency and accuracy, and will increase output by reducing limits on training capacity and efficiency that are due to labor. CTSi and Bucknell University have identified an innovative animal training approach which will deliver large quantities of trained animals. Automation enables use of much less labor and allows ordinary people to supervise an animal training program. Our system will allow precise control stimulus and response conditions, and provide informative, detailed data on training status and performance feedback for many individual animals. It is designed to operate in adverse environmental conditions. Additionally, the approach can easily be expanded and adapted to other humanitarian and security applications.

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

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