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UID:event-145383@localz.events
DTSTAMP:20261112T180551Z
LAST-MODIFIED:20261103T053323Z
DTSTART:20261124T183000Z
DTEND:20261124T193000Z
SUMMARY:MAE Colloquium: Ryne Beeson (Princeton)
DESCRIPTION:Spacecraft Trajectory Design and Flight with Machine Learning L
 ow thrust propulsion is now a ubiquitous choice of propulsion system for a
  wide range of space missions\, including in chaotic and complex dynamical
  environments\, such as the Earth-Moon system. A central difficulty of des
 igning for low thrust is the global search problem at high cadence\, which
  requires a balance of modeling fidelity\, continuation approaches\, and o
 ften highly experienced mission designers. A second difficult arises in th
 e operation of the mission where unplanned thruster outage events are like
 ly to occur\, and autonomous re-planning is not yet demonstrated. In this 
 seminar we will review the progress of research and use of machine learnin
 g in space flight design\, and onboard guidance\, navigation\, and control
 . We show how enabling generative model formulations and architectures sho
 uld be chosen based on the navigation problem of interest and then demonst
 rate recent results for low thrust mission design and…\n\nhttps://localz
 .events/e/mae-colloquium-ryne-beeson-princeton-145383
LOCATION:Kimball Hall\, Ithaca
GEO:42.443844;-76.483292
URL:https://localz.events/e/mae-colloquium-ryne-beeson-princeton-145383
STATUS:CONFIRMED
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