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Activity Planning for a Lunar Orbital MissionThis paper describes a challenging, real-world planning problem within the context of a NASA mission called LADEE (Lunar Atmospheric Dust Environment Explorer). LADEEs science phase was performed in an equatorial, retrograde orbit around the Moon. The science observations were constrained with respect to key points in the spacecrafts orbit. We present the approach taken to reduce the complexity of the activity planning task in order to effectively perform it within the time pressures imposed by the mission requirements. One key aspect of this approach is the design of the activity planning process based on principles of problem decomposition and planning abstraction levels. The second key aspect is the mixed-initiative system developed for this task, called LASS (LADEE Activity Scheduling System). The primary challenge for LASS was representing and managing the orbit-based science constraints, given their dynamic nature due to the continually updated orbit determination solution.



Document ID
20190025138
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Bresina, John L.
(NASA Ames Research Center Moffett Field, CA, United States)
Date Acquired
May 15, 2019
Publication Date
January 25, 2015
Subject Category
Computer Programming And Software
Report/Patent Number
ARC-E-DAA-TN17561
ARC-E-DAA-TN19682
Report Number: ARC-E-DAA-TN17561
Report Number: ARC-E-DAA-TN19682
Meeting Information
Meeting: Annual Conference on Innovative Applications of Artificial Intelligence
Location: Austin, TX
Country: United States
Start Date: January 25, 2015
End Date: January 29, 2015
Sponsors: American Association for Artificial Intelligence
Funding Number(s)
WBS: 859103.07.01
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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