Title
The Techsat-21 autonomous space science agent
Abstract
The Autonomous Sciencecraft Experiment (ASE) will fly onboard the Air Force TechSat-21 constellation of three spacecraft scheduled for launch in 2004. ASE uses onboard continuous planning, robust task and goal-based execution, model-based mode identification and reconfiguration, 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 a hybrid multi-layer control architecture to enable a virtual spacecraft science agent. We also describe our working software prototype and preparations for flight.
Year
DOI
Venue
2002
10.1145/544862.544880
AAMAS
Keywords
Field
DocType
machine learning,autonomy,pattern recognition
Architecture,Space Science,Computer science,Real-time computing,Retargeting,Constellation,Software,Control reconfiguration,Telecommunications link,Spacecraft
Conference
ISBN
Citations 
PageRank 
1-58113-480-0
15
1.51
References 
Authors
10
15
Name
Order
Citations
PageRank
Steve Chien128643.51
Rob Sherwood21462128.08
Gregg Rabideau324429.61
Rebecca Castano410214.05
Ashley Davies5568.56
Michael C. Burl6445106.47
Russell Knight7856.86
Timothy M. Stough8213.23
Joseph Roden9151.51
Paul Zetocha10163.00
Ross Wainwright11194.09
Pete Klupar12151.51
Jim Van Gaasbeck13161.99
Pat Cappelaere14222.98
Dean Oswald15151.51