Knowledge Acquisition for the Onboard Planner of an Autonomous Spacecraft (1997)
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BibTeX
@MISC{Smith97knowledgeacquisition,
author = {Benjamin D. Smith and Karma Rajan and Benjamin D. Sxnithl and Karma Rajan Al~d and Nicola Muscettola},
title = {Knowledge Acquisition for the Onboard Planner of an Autonomous Spacecraft},
year = {1997}
}
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Abstract
. Deep Space Oue will the first spacecraft to he controlled by an autonomous closed loop potentially capable of carrying out a complete mission with minimal from Earth. A major component of the autonomous flight software is an onboard planner/scheduler. generative planning and temporal ing technologies, the planner/scheduler transforms abstract goals into detailed tasks to executed within resource and time limits. This paper discusses the knowledge acquisition issues involved in trausitioning this novel technology into spacecraft flight software, developing the planner in the context a software project completing the work under a compressed development schedule. Our experience shows that the planning framework used is adequate to address the challenges of and future autonomous spacecraft systems, and it points to a series of open technological challenges in developing and tools for acquisition and validation. 1 Introduction The future of the space for ambitious missions of exploration...
