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Team Performance Metrics for Command and Control of Unmanned Systems

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-13-M-0006
Agency Tracking Number: N122-137-0603
Amount: $79,962.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N122-137
Solicitation Number: 2012.2
Timeline
Solicitation Year: 2012
Award Year: 2013
Award Start Date (Proposal Award Date): 2012-10-22
Award End Date (Contract End Date): 2013-08-23
Small Business Information
9180 Brown Deer Road
San Diego, CA -
United States
DUNS: 131182388
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Ronald Moore
 Senior Analyst
 (858) 535-1661
 ramoore@pacific-science.com
Business Contact
 James Callan
Title: President
Phone: (858) 535-1661
Email: 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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