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Spacecraft autonomy using onboard processing for a SAR constellation missionThe Autonomous Sciencecraft Experiment (ASE) will fly onboard the Air Force TechSat 21 constellation of three spacecraft scheduled for launch in 2006. ASE uses onboard continuous planning, robust task and goal-based execution, model-based mode identification and reconfiguration, and onboard machine learning and pattern recognition to radically increase science return by enabling intelligent downlink selection and autonomous retargeting. In this paper we discuss how these AI technologies are synergistically integrated in a hybrid multi-layer control architecture to enable a virtual spacecruft science agent. Demonstration of these capabilities in a flight environment will open up tremendous new opportunities in planetary science, space physics, and earth science that would be unreachable without this technology.
Document ID
20060030466
Acquisition Source
Jet Propulsion Laboratory
Document Type
Conference Paper
External Source(s)
Authors
Sherwood, R. L.
Chien, S.
Castano, R.
Rabideau, G.
Date Acquired
August 23, 2013
Publication Date
November 10, 2002
Distribution Limits
Public
Copyright
Other
Keywords
Autonomous Sciencecraft Experiment ASE virtual spacecraft science agent

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