You are here
LEARNING-BASED APPROACH FOR RELEVANT DATA EXTRACTION (LARDE)
Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-14-C-0367
Agency Tracking Number: N13A-016-0331
Amount:
$781,615.00
Phase:
Phase II
Program:
STTR
Solicitation Topic Code:
N13A-T016
Solicitation Number:
2013.0
Timeline
Solicitation Year:
2013
Award Year:
2015
Award Start Date (Proposal Award Date):
2014-09-26
Award End Date (Contract End Date):
2017-01-27
Small Business Information
555 Quince Orchard Road
Suite 300
Gaithersburg, MD
20878
United States
DUNS:
121257443
HUBZone Owned:
No
Woman Owned:
No
Socially and Economically Disadvantaged:
Yes
Principal Investigator
Name: Alberto Lacaze
Title: President
Phone: (240) 631-0008
Email: lacaze@roboticresearch.com
Title: President
Phone: (240) 631-0008
Email: lacaze@roboticresearch.com
Business Contact
Name: Chantel Adams
Title: Technical Point of Contact
Phone: (240) 631-0008
Email: contracts@roboticresearch.com
Title: Technical Point of Contact
Phone: (240) 631-0008
Email: contracts@roboticresearch.com
Research Institution
Name: Southwest Research Institute
Contact: Michael Ladika
Address:
Phone: (210) 684-5111
Type: Domestic Nonprofit Research Organization
Contact: Michael Ladika
Address:
6220 Culebra Rd.
San Antonio, TX
78238-5166
United States
Phone: (210) 684-5111
Type: Domestic Nonprofit Research Organization
Abstract
Robotic Research, LLC (RR) and Southwest Research Institute (SwRI) are creating a prototype Learning-based Approach for Relevant Data Extraction (LARDE). The LARDE framework is a data extraction and handling framework that can intelligently reduce the volume of raw data from on-board sensors, and organize and persistently store the reduced relevant dataset.
* Information listed above is at the time of submission. *