Autonomous Trackless Vehicle Target

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$149,872.00
Award Year:
2012
Program:
SBIR
Phase:
Phase I
Contract:
W900KK-12-C-0038
Award Id:
n/a
Agency Tracking Number:
A121-063-0187
Solicitation Year:
2012
Solicitation Topic Code:
A12-063
Solicitation Number:
2012.1
Small Business Information
29600 Wm K Smith Dr, Ne, MI, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
618628762
Principal Investigator:
MarkSalamango
Robotics Program Manager
(248) 446-9800
msalamango@prattmiller.com
Business Contact:
SaraBlackmer
Director, Government Markets
(248) 446-9800
sblackmer@prattmiller.com
Research Institute:
Stub




Abstract
At the heart of the US armed services"effectiveness is their extensive background training. US soldiers, airmen, and others are put through exhaustive training, and their warfighting effectiveness is directly related to the quality of the training received. Part of this training includes live fire training exercises using"drone"targets to expose trainees to more realistic situations. Such targets have been in use for many years, using configurations that are reasonably limited. In particular, some targets operate with"towed"configurations or on static rail lines. These existing rail-based targets are inadequate; it is difficult to emulate behaviors of real-world targets with them, and, perhaps even more problematically, they inherently beget predictability. Fortunately, current generation unmanned ground vehicle (UGV) technology provides a potential solution. In this project, we propose to create AVeTar: a Modular, Unmanned, Trackless Target System with Behavioral Capabilities. AVeTar will be highly-configurable, unmanned vehicles with sophisticated command and control capabilities and the ability to execute behaviors that emulate real-world encounters. It will be engineered to enable trainers to create and deploy scenario-based content quickly and easily, and integrate within existing and future training programs. When fully realized, this technology will enable substantially more robust, useful live-fire training exercises.

* information listed above is at the time of submission.

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