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Opportunistic Planning and Execution for Planetary ExplorationWe are developing technologies to increase the autonomous capabilities of future rover missions. Our objectives are to make rovers easier to command and to enable them to make more effective use of rover resources when problems arise or when things go better than expected. We will demonstrate OASIS (Onboard Analysis Science Investigation System) which combined planning and scheduling techniques with machine learning to enable rovers to perform robust and opportunistic science operations.
Document ID
20070017959
Acquisition Source
Jet Propulsion Laboratory
Document Type
Preprint (Draft being sent to journal)
External Source(s)
Authors
Gaines, Daniel M.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Estlin, Tara
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Chouinard, Caroline
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Castano, Rebecca
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Castano, Andres
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Bornstein, Ben
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Anderson, Robert C.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Judd, Michele
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Nesnas, Issa
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Rabideau, Gregg
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
August 23, 2013
Publication Date
June 6, 2006
Subject Category
Lunar And Planetary Science And Exploration
Meeting Information
Meeting: International Conference on Automated Planning and Scheduling
Location: English Lake District
Country: United Kingdom
Start Date: June 6, 2006
End Date: June 10, 2006
Distribution Limits
Public
Copyright
Other
Keywords
autonomous planning
autonomous execution
onboard science analysis

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