Name
Abstract | ||
|---|---|---|
The Autonomous Sciencecraft Experiment (ASE) will fly onboard the Air Force TechSat 21 constellation of three spacecraft scheduled for launch in 2006. 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. Demonstration of these capabilities in a flight environment will open up tremendous new opportunities in planetary science, space physics, and earth science that would be unreachable without this technology. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1007/3-540-36187-1_19 | Australian Joint Conference on Artificial Intelligence |
Keywords | Field | DocType |
ai technology,virtual spacecraft science agent,autonomous sciencecraft experiment,science return,air force techsat,autonomous retargeting,autonomous planning,onboard continuous planning,earth science,planetary science,onboard machine,scheduling,intelligent agent,constellations,autonomy,artificial intelligence,machine learning,pattern recognition | Architecture,Systems engineering,Computer science,Simulation,Scheduling (computing),Retargeting,Constellation,System identification,Control reconfiguration,Telecommunications link,Spacecraft,Distributed computing | Conference |
Volume | ISSN | ISBN |
2557 | 0302-9743 | 3-540-00197-2 |
Citations | PageRank | References |
1 | 0.36 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rob Sherwood | 1 | 1462 | 128.08 |
| Steve Chien | 2 | 286 | 43.51 |
| Rebecca Castaño | 3 | 82 | 8.78 |
| Gregg Rabideau | 4 | 244 | 29.61 |