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The autonomous sciencecraft constellations

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dc.contributor.author Sherwood, R.L. en_US
dc.contributor.author Chien, S. en_US
dc.contributor.author Castano, R. en_US
dc.contributor.author Rabideau, G. en_US
dc.date.accessioned 2004-09-17T19:00:15Z
dc.date.available 2004-09-17T19:00:15Z
dc.date.issued 2003-03-08 en_US
dc.identifier.citation 2003 IEEE Aerospace Conference en_US
dc.identifier.citation Big Sky, MT, USA en_US
dc.identifier.clearanceno 02-2686 en_US
dc.identifier.uri http://hdl.handle.net/2014/10609
dc.description.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 spacecraft 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. en_US
dc.format.extent 4082555 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.subject.other Autonomous Sciencecraft Experiment ASE AI technology virtual spacecraft science agent en_US
dc.title The autonomous sciencecraft constellations en_US


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