Paper Info
Title
Safe agents in space: lessons from the autonomous sciencecraft experiment
Abstract
An Autonomous Science Agent is currently flying onboard the Earth Observing One Spacecraft This software enables the spacecraft to autonomously detect and respond to science events occurring on the Earth The package includes software systems that perform science data analysis, deliberative planning, and run-time robust execution Because of the deployment to a remote spacecraft, this Autonomous Science Agent has stringent constraints of autonomy and limited computing resources We describe these constraints and how they are reflected in our agent architecture.
Year
DOI
Venue
2004
10.1007/978-3-540-30549-1_5
Australian Conference on Artificial Intelligence
Keywords
Field
DocType
deliberative planning,software system,science event,autonomous sciencecraft experiment,run-time robust execution,science data analysis,remote spacecraft,safe agent,limited computing resource,autonomous science agent,stringent constraint,agent architecture,image processing,autonomy,data analysis,algorithms,earth observation,software engineering,reliability analysis,software systems
Software deployment,Computer science,Software system,Agent architecture,Software,Autonomous system (mathematics),Systems architecture,Preprint,Distributed computing,Spacecraft
Conference
Volume
ISSN
ISBN
3339
0302-9743
3-540-24059-4
Citations 
PageRank 
References 
0
0.34
4
Authors
7
Name
Order
Citations
PageRank
Rob Sherwood11462128.08
Steve Chien228643.51
Daniel Tran3869.88
Benjamin Cichy4597.19
Rebecca Castano510214.05
Ashley Davies6568.56
Gregg Rabideau724429.61