Autonomous Collaborative Agents for Onboard Multi-Sensor Re-Targeting

Award Information
Agency:
National Aeronautics and Space Administration
Branch
n/a
Amount:
$599,998.00
Award Year:
2006
Program:
SBIR
Phase:
Phase II
Contract:
NNA06BA03C
Agency Tracking Number:
041178
Solicitation Year:
2004
Solicitation Topic Code:
E3.05
Solicitation Number:
n/a
Small Business Information
Intelligent Automation, Inc.
15400 Calhoun Drive, Suite 400, Rockville, MD, 20855-2785
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
Y
Duns:
161911532
Principal Investigator:
Goutam Satapathy
Principal Investigator
(301) 294-5249
goutam@i-a-i.com
Business Contact:
Mark James
Business Official
(301) 294-5221
mjames@i-a-i.com
Research Institution:
n/a
Abstract
In our Phase I effort we developed a prototype software-agent based framework to provide for autonomous re-targeting of sensors hosted on satellites in polar orbits, subject to standing requests and dynamic user requests. Our approach is a distributed and de-centralized, with each satellite maintaining knowledge of its sensor complement and physical capabilities as well as its schedule. Each satellite is capable of entering into negotiations for a viewing opportunity via a Contract Net type protocol; and is capable of optimizing its bid. As sensor deployment increases and autonomous vehicles become more robust, the need for a framework to support multi-sensor re-targeting in a dynamic environment involving multiple organizations becomes more acute. In our Phase 2 effort, we will extend the framework to include support for multiple types of sensor platforms as well as more sophisticated variants of the Contract Net Protocol. We will define various agent 'templates' specialized to the needs of the multi-sensor re-targeting environment. In Phase 2, the improved framework, AAMSRT, will support policy utilization to govern the sensor re-tasking. As part of the Phase 2 effort, we will engage the Open Geospatial Consortium for applicable standards, including use of SensorML, services, and OGC initiatives regarding sensor planning.

* information listed above is at the time of submission.

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