Enhancing NASA's Procedure Representation Language to Support Planning Operations

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX09CA17C
Agency Tracking Number: 074848
Amount: $599,897.00
Phase: Phase II
Program: SBIR
Awards Year: 2009
Solicitation Year: 2007
Solicitation Topic Code: X1.01
Solicitation Number: N/A
Small Business Information
Traclabs, Inc.
8620 N. New Braunfels Avenue, Suite 603, San Antonio, TX, 78217-3856
DUNS: 193786014
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Russell Bonasso
 Principal Investigator
 (281) 483-2738
 r.p.bonasso@nasa.gov
Business Contact
 David Kortenkamp
Title: President
Phone: (281) 461-9525
Email: korten@traclabs.com
Research Institution
N/A
Abstract
Automation and autonomy are key elements in realizing the vision for space exploration. The NASA Exploration Technology Development Program (ETDP) has been developing several core autonomy capabilities, one of which is called a procedure representation language (PRL). PRL can be automatically translated into code that can be executed by NASA-developed autonomous executives. Another type of automation being developed by ETDP is automated planning aids. These will be needed to increase the number of missions that existing levels of flight personnel must be able to handle. But PRL has few constructs to enable automated planners and schedulers to take advantage of the procedures resulting from PRL. In Phase 1 we developed extensions to PRL to add planning information – resource, constraints and sub-procedural information – so as to produce code useable by automated planning software. In this project, we propose to develop an interactive planning aid for flight controllers to show that such an aid can process our enhanced PRL files to generate mission plans and to test their feasibility via an execution system. Besides refining our previous modeling efforts, this work will show that the availability of computer-useable planning information can lead to practical applications of NASA's automated planning efforts.

* information listed above is at the time of submission.

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