Autonomous Collaborative Agents for Onboard Multi-Sensor Re-Targeting

Award Information
Agency:
National Aeronautics and Space Administration
Branch
n/a
Amount:
$70,000.00
Award Year:
2005
Program:
SBIR
Phase:
Phase I
Contract:
NNA05CQ95C
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
Contracts Manager
(301) 294-5221
mjames@i-a-i.com
Research Institution:
n/a
Abstract
Technologies that support the configuration of sensors and satellites, and allow the reconfiguration or retargeting of sensors in response to user demand or significant events require mechanisms to autonomously understand the type and current state of on-board resources and to re-task these resources in such as way that the system achieves its global objectives. Here we propose the development of an integrated framework for onboard dynamic sensor (re)configuration, discovery and classification of data, based on SensorML (Sensor model language). We also model each satellite as a multi-criteria multi constraint optimization problem to optimize the usage of resources in response to significant events without adversely affecting the normal operations. This is achieved through negotiation among various satellites that have overlapping sensing capabilities so that globally optimal solutions can be found by computing joint plan qualities resulting due to sharing of resources. We propose to use IAI's propriety Cybele agent platform (www.cybelepro.com) that provides capability to model and simulate such complex distributed systems. DIVA a case tool developed by IAI would be employed to design and implement negotiation protocols among satellite agents to demonstrate the collaborative global optimization of autonomous planning process for multi-sensor retargeting.

* information listed above is at the time of submission.

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