ADP: Autonomous Deep Perception

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$79,955.00
Award Year:
2013
Program:
STTR
Phase:
Phase I
Contract:
N00014-13-P-1187
Award Id:
n/a
Agency Tracking Number:
N13A-016-0047
Solicitation Year:
2013
Solicitation Topic Code:
N13A-T016
Solicitation Number:
2013.A
Small Business Information
TX, College Station, TX, 77845-6023
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
184758308
Principal Investigator:
VictorPalmer
Scientist
(979) 764-2200
victor.palmer@lynntech.com
Business Contact:
G.Hisaw
Sr. Contracts Administrat
(979) 764-2218
renee.hisaw@lynntech.com
Research Institute:
Carnegie Mellon University
Robert Kearns
5000 Forbes Avenue
Pittsburgh, PA, 15213-3890
(412) 268-5837

Abstract
Autonomous systems acquire massive amounts of sensor and communications data over the course of their potentially lengthy missions. Ideally, such systems would incorporate current and historical data into their decision making processes to generalize from experience and avoid repetitive errors. However, the sheer quantity of data gathered can make storage and processing of an unfiltered data stream practically difficult. As a result, many current autonomous systems utilize only recent sensor data. In contrast, biological systems quickly summarize highly complex sensory information streams into a lifetime of well-organized memories, which can be quickly accessed to affect current reasoning tasks. Lynntech"s Autonomous Deep Perception (ADP) system will use deep belief neural networks, coupled with life-long learning methods, with the goal of allowing autonomous systems to quickly generate and archive small, salient, and highly-accessible representations of sensor information. Using this transformed, highly relevant view of the incoming data, autonomous systems can identify and focus on mission-relevant input, as well as quickly scan through historical, compactly-represented data archives to apply past experience to current decisions in real time.

* information listed above is at the time of submission.

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