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Please use this identifier to cite or link to this item: http://hdl.handle.net/2014/11073

Title: Spacecraft autonomy using onboard processing for a SAR constellation mission
Authors: Sherwood, R.L.
Chien, S.
Castano, R.
Rabideau, G.
Issue Date: 10-Nov-2002
Citation: ISPRS Commission I Mid-Term Symposium
Denver, CO, USA
Abstract: The 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.
URI: http://hdl.handle.net/2014/11073
Appears in Collections:JPL TRS 1992+

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