Autonomy Management Platform

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$149,858.00
Award Year:
2013
Program:
SBIR
Phase:
Phase I
Contract:
N00014-13-P-1125
Agency Tracking Number:
O123-HS1-4214
Solicitation Year:
2012
Solicitation Topic Code:
OSD12-HS1
Solicitation Number:
2012.3
Small Business Information
Traclabs, Inc.
100 Northeast Loop 410, Suite 520, San Antonio, TX, -
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
193786014
Principal Investigator:
David Kortenkamp
Senior Scientist
(281) 461-7886
korten@traclabs.com
Business Contact:
David Kortenkamp
President and CEO
(281) 461-7886
korten@traclabs.com
Research Institution:
n/a
Abstract
Autonomous vehicles are becoming more and more integral to our nation's defense. A DoD object is to free humans from direct control and move towards supervisory control of multiple, autonomous assets. Achieving this objective will require significant advances in decision support and supervisory control concepts. Current operator interfaces require continuous attention from the operator to a single unmanned vehicle. In fact, many require the attention of several operators. In addition, designing and building the decision support components often requires significant expertise in computer science, artificial intelligence, and software engineering. This makes the cost of developing, maintaining, and modifying these systems exorbitant. Our approach is to design reusable, ontology-driven decision support tools that can be configured into an Autonomy Management Platform (AMP) that can assist an operator in controlling and directing several unmanned vehicles at the same time. We also propose an ontology editor that lets non-computer scientists create and update the assets, capabilities, tasks, and environment of the various unmanned vehicles. These ontologies are used by the decision support tools, which allows for flexibility and extensibility of AMP. The benefits will be reduced cost of operations and increased productivity of the operators while saving time and money in the design, deployment, and maintenance of decision support systems for multi-asset coordination.

* information listed above is at the time of submission.

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