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Draper Laboratory
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===Intelligent systems=== Draper researchers develop artificial intelligence systems to allow robotic devices to learn from their mistakes, This work is in support of [[DARPA]]-funded work, pertaining to the Army [[Future Combat System]]. This capability would allow an autonomous under fire to learn that that road is dangerous and find a safer route or to recognize that its fuel status and damage status. {{as of|2008}}, Paul DeBitetto reportedly led the cognitive robotics group at the laboratory in this effort.<ref name = "Autonomous">{{cite journal| last = Jean| first = Grace V.| title = Robots Get Smarter, But Who Will Buy Them?| journal = National Defense| publisher = National Defense Industrial Association| date = March 2008| url = http://www.nationaldefensemagazine.org/archive/2008/March/Pages/RobotsGet2328.aspx| access-date = 2013-12-23| archive-url = https://web.archive.org/web/20131225064229/http://www.nationaldefensemagazine.org/archive/2008/March/Pages/RobotsGet2328.aspx| archive-date = 2013-12-25| url-status = dead}}</ref> {{As of |2009}}, the US [[Department of Homeland Security]] funded Draper Laboratory and other collaborators to develop a technology to detect potential terrorists with cameras and other sensors that monitor behaviors of people being screened. The project is called [[Future Attribute Screening Technology]] (FAST). The application would be for security checkpoints to assess candidates for follow-up screening. In a demonstration of the technology, the project manager Robert P. Burns explained that the system is designed to distinguish between malicious intent and benign expressions of distress by employing a substantial body research into the psychology of deception.<ref name ="FAST">{{cite web| last = Johnson| first = Carolyn Y.| title = Spotting a terrorist—Next-generation system for detecting suspects in public settings holds promise, sparks privacy concerns| work = [[The Boston Globe]]| date = September 18, 2009| url = http://www.boston.com/news/local/massachusetts/articles/2009/09/18/spotting_a_terrorist/| access-date = 2013-12-24}}</ref> As of 2010 Neil Adams, a director of tactical systems programs for Draper Laboratory, led the systems integration of [[Defense Advanced Research Projects Agency]]'s (DARPA) Nano Aerial Vehicle (NAV) program to miniaturize flying reconnaissance platforms. This entails managing the vehicle, communications and ground control systems allow NAVs to function autonomously to carry a sensor payload to achieve the intended mission. The NAVS must work in urban areas with little or no GPS signal availability, relying on vision-based sensors and systems.<ref name="Hummingbird">{{cite web| last = Smith| first = Ned| title = Military Plans Hummingbird-Sized Spies in the Sky| publisher = Tech News Daily| date = 1 July 2010| url = http://www.technewsdaily.com/712--military-plans-hummingbird-sized-spies-in-the-sky.html| access-date = 2013-12-24| archive-date = 2014-02-23| archive-url = https://web.archive.org/web/20140223113306/http://www.technewsdaily.com/712--military-plans-hummingbird-sized-spies-in-the-sky.html| url-status = dead}}</ref>
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