The Autonomous Sciencecraft Experiment (ASE) will operate onboard the Earth Orbiter 1 mission in 2003. The ASE software uses onboard continuous planning, robust task and goal-based execution, 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 multilayer control architecture to enable a virtual spacecraft science agent.
Preliminary results of the autonomous sciencecraft experiment
2004-03-01
Miscellaneous
No indication
English
2.0502 Preliminary Results of the Autonomous Sciencecraft Experiment
British Library Conference Proceedings | 2004
|2.0502 The Autonomous Sciencecraft Experiment
British Library Conference Proceedings | 2003
|The ST6 autonomous sciencecraft experiment
Tema Archive | 2005
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