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LEARNING-BASED APPROACH FOR RELEVANT DATA EXTRACTION (LARDE)

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
Program Year/Program:
2013 / STTR
Agency Tracking Number:
N13A-016-0331
Solicitation Year:
2013
Solicitation Topic Code:
N13A-T016
Solicitation Number:
2013.A
Small Business Information
Robotic Research LLC
555 Quince Orchard Road Suite 300 Gaithersburg, MD 20878-
View profile »
Woman-Owned: No
Minority-Owned: Yes
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2013
Title: LEARNING-BASED APPROACH FOR RELEVANT DATA EXTRACTION (LARDE)
Agency / Branch: DOD / NAVY
Contract: N00014-13-P-1186
Award Amount: $79,862.00
 

Abstract:

Autonomous systems continue to be outfitted with larger amounts of sensors that are capable of collecting extremely large amounts of data over the course of a mission. Even autonomous systems with high storage capacities can run into storage limitations when burdened with large amounts of sensor data over long mission durations. This proposal will develop a Learning-based Approach for Relevant Data Abstraction (LARDA) from a set of sensors that produce a large volume of raw data on-board an autonomous system. LARDA will generate a data abstraction and handling framework that is generic enough to be useful for a variety of current and future autonomous systems, but specific enough to directly support missions fielded with autonomous systems in the near-term. The core algorithms of this framework will comprise both supervised and unsupervised machine learning techniques to extract, cluster, and label relevant features from sensor data that can support planning and decision-making for future autonomous missions.

Principal Investigator:

Alberto Lacaze
President
(240) 631-0008
lacaze@roboticresearch.com

Business Contact:

Alberto Lacaze
President
(240) 631-0008
lacaze@roboticresearch.com
Small Business Information at Submission:

Robotic Research LLC
555 Quince Orchard Road Suite 300 Gaithersburg, MD -

EIN/Tax ID: 270030984
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: Yes
HUBZone-Owned: No
Research Institution Information:
Southwest Research Institute
6220 Culebra Rd.
San Antonio, TX 78238-5166
Contact: Michael Ladika
Contact Phone: (210) 684-5111