Autonomous Trackless Vehicle Target

Award Information
Agency: Department of Defense
Branch: Army
Contract: W900KK-12-C-0038
Agency Tracking Number: A121-063-0187
Amount: $149,872.00
Phase: Phase I
Program: SBIR
Awards Year: 2012
Solicitation Year: 2012
Solicitation Topic Code: A12-063
Solicitation Number: 2012.1
Small Business Information
Pratt & Miller Engineering & Fabrication, Inc.
29600 Wm K Smith Dr, Ne, MI, -
DUNS: 618628762
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Mark Salamango
 Robotics Program Manager
 (248) 446-9800
 msalamango@prattmiller.com
Business Contact
 Sara Blackmer
Title: Director, Government Markets
Phone: (248) 446-9800
Email: sblackmer@prattmiller.com
Research Institution
 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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