Team Performance Metrics for Command and Control of Unmanned Systems

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$79,962.00
Award Year:
2013
Program:
SBIR
Phase:
Phase I
Contract:
N00014-13-M-0006
Agency Tracking Number:
N122-137-0603
Solicitation Year:
2012
Solicitation Topic Code:
N122-137
Solicitation Number:
2012.2
Small Business Information
Pacific Science & Engineering Group, Inc.
9180 Brown Deer Road, San Diego, CA, -
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
131182388
Principal Investigator:
Ronald Moore
Senior Analyst
(858) 535-1661
ramoore@pacific-science.com
Business Contact:
James Callan
President
(858) 535-1661
jrcallan@pacific-science.com
Research Institution:
Stub




Abstract
In today"s world, unmanned vehicles play ever-increasing roles in the military, firefighting, deep-sea and space exploration, and border defense. There is often a one-to-one ratio between operator and these unmanned vehicles; in some systems, an entire team of humans is required to operate a single vehicle. The Navy"s ambitious future vision of autonomous vehicles and sensors involves tens even hundreds of vehicles and sensors being supervised by a single individual or very small team. To achieve this radical shift will require innovative new methods of monitoring, managing, and coordinating these vehicles and sensors and a significant change in the current concept of operations. Whereas today"s unmanned vehicles or sensors serve primarily as a remote extension of their operators and have very little autonomy, tomorrow"s autonomous vehicles and sensors will serve more as active,"thinking"members in a vast, distributed, multi-echelon"team"supervised and directed by a human(s). Measuring and optimizing the performance of such human/machine teams in real time will require new kinds of metrics and methods of measurement. This proposal outlines a plan for developing and validating the required metrics and methods by way of a new concept for structuring the data and information exchanged between human and machine.

* information listed above is at the time of submission.

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