Title
Lessons learned from autonomous sciencecraft experiment
Abstract
An Autonomous Science Agent has been flying onboard the Earth Observing One Spacecraft since 2003. This software enables the spacecraft to autonomously detect and responds to science events occurring on the Earth such as volcanoes, flooding, and snow melt. The package includes AI-based software systems that perform science data analysis, deliberative planning, and run-time robust execution. This software is in routine use to fly the EO-1 mission. In this paper we briefly review the agent architecture and discuss lessons learned from this multi-year flight effort pertinent to deployment of software agents to critical applications.
Year
DOI
Venue
2005
10.1145/1082473.1082798
AAMAS Industrial Applications
Keywords
Field
DocType
earth observation,data analysis,software engineering,agent architecture,software agent,software systems,agent,expert system,deployment,snow,autonomy,volcanoes
Software deployment,Systems engineering,Computer science,Expert system,Software agent,Software system,Real-time computing,Agent architecture,Software,Preprint,Distributed computing,Spacecraft
Conference
ISBN
Citations 
PageRank 
1-59593-093-0
9
0.68
References 
Authors
9
16
Name
Order
Citations
PageRank
Steve Chien128643.51
Rob Sherwood21462128.08
Daniel Tran3869.88
Benjamin Cichy4597.19
Gregg Rabideau524429.61
Rebecca Castaño6828.78
Ashley Davies7568.56
Daniel Mandl8787.48
Stuart W. Frye910711.03
Bruce Trout10574.49
Jeff D'Agostino11323.09
Seth Shulman12575.16
Darrell Boyer13574.49
Sandra C. Hayden14252.62
Adam Sweet1591.36
Scott Christa16101.03