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A Hybrid Procedural/Deductive Executive for Autonomous SpacecraftThe New Millennium Remote Agent (NMRA) will be the first AI system to control an actual spacecraft. The spacecraft domain places a strong premium on autonomy and requires dynamic recoveries and robust concurrent execution, all in the presence of tight real-time deadlines, changing goals, scarce resource constraints, and a wide variety of possible failures. To achieve this level of execution robustness, we have integrated a procedural executive based on generic procedures with a deductive model-based executive. A procedural executive provides sophisticated control constructs such as loops, parallel activity, locks, and synchronization which are used for robust schedule execution, hierarchical task decomposition, and routine configuration management. A deductive executive provides algorithms for sophisticated state inference and optimal failure recover), planning. The integrated executive enables designers to code knowledge via a combination of procedures and declarative models, yielding a rich modeling capability suitable to the challenges of real spacecraft control. The interface between the two executives ensures both that recovery sequences are smoothly merged into high-level schedule execution and that a high degree of reactivity is retained to effectively handle additional failures during recovery.
Document ID
20020060783
Acquisition Source
Ames Research Center
Document Type
Preprint (Draft being sent to journal)
Authors
Pell, Barney
(Research Inst. for Advanced Computer Science Moffett Field, CA United States)
Gamble, Edward B.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA United States)
Gat, Erann
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA United States)
Kessing, Ron
(Caelum Research Corp. Moffett Field, CA United States)
Kurien, James
(Caelum Research Corp. Moffett Field, CA United States)
Millar, William
(Caelum Research Corp. Moffett Field, CA United States)
Nayak, P. Pandurang
(Research Inst. for Advanced Computer Science Moffett Field, CA United States)
Plaunt, Christian
(Caelum Research Corp. Moffett Field, CA United States)
Williams, Brian C.
(NASA Ames Research Center Moffett Field, CA United States)
Lau, Sonie
Date Acquired
September 7, 2013
Publication Date
January 1, 1998
Subject Category
Cybernetics, Artificial Intelligence And Robotics
Report/Patent Number
Rept-632-30
Report Number: Rept-632-30
Funding Number(s)
CONTRACT_GRANT: NAS2-14217
CONTRACT_GRANT: NCC2-1006
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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