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Distributed, Dynamic Space-Based Logistics Contingency Planning

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NAS2-02024
Agency Tracking Number: 013116
Amount: $69,912.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Solicitation Year: N/A
Award Year: 2002
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
8716 North Mopac Expressway Suite 310
Austin, TX 78759
United States
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Darrin Taylor
 Principal Investigator
 (512) 342-0010
Business Contact
 Darrin Taylor
Title: Business Official
Phone: (512) 342-0010
Research Institution

Space travel is fraught with ever changing emergencies and accidents that place human life and expensive one-of-a-kind autonomous systems at risk. Hypothetical collisions with space debris, human and computer errors are just a few examples of such risk. In this effort, we propose space based logistics technologies that can ameliorate and minimize the inherent risks due to space travel. We shall adapt agent based logistics technologies developed by 21st Century Technologies for DARPA's Ultra*Log project that can be exploited for use by autonomous systems and by astronauts on shuttle missions. Multiple fidelity processing is one such technology that will be demonstrated to successfully manage a simulated emergency. Multiple fidelity processing manages the level of specificity involved in reasoning about logistics in order to receive a solution in real time. In this effort we shall demonstrate the utility of automated multiple fidelity planning for space based assets in the context of satellite operations to present real time potential solutions to simulated emergency situations. The ability to manage such situations is necessary to promote NASA's vision of filling space with robotic explorers and making operations closer to home more efficient using ever more intelligent automated planners.

* Information listed above is at the time of submission. *

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