Model-Based Autonomy in Deep-Space Missions

Authors:
David P. Watson
Affiliations:
Johns Hopkins University Applied Physics Laboratory
Venue:
IEEE Intelligent Systems
Year:
2003

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Abstract

The article discusses trade-offs involved in current-generation autonomy systems for deep-space applications and describes emerging research that will let future spacecraft operate unattended for significant periods of time, synthesizing control decisions in response to both planned and unplanned events.