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Using AI Planning Techniques to Automatically Generate Image Processing Procedures: A Preliminary ReportThis paper describes work on the Multimission VICAR Planner (MVP) system to automatically construct executable image processing procedures for custom image processing requests for the JPL Multimission Image Processing Lab (MIPL). This paper focuses on two issues. First, large search spaces caused by complex plans required the use of hand encoded control information. In order to address this in a manner similar to that used by human experts, MVP uses a decomposition-based planner to implement hierarchical/skeletal planning at the higher level and then uses a classical operator based planner to solve subproblems in contexts defined by the high-level decomposition.
Document ID
20060038307
Acquisition Source
Jet Propulsion Laboratory
Document Type
Preprint (Draft being sent to journal)
External Source(s)
Authors
Chien, S.
Date Acquired
August 23, 2013
Publication Date
June 13, 1994
Subject Category
Cybernetics, Artificial Intelligence And Robotics
Distribution Limits
Public
Copyright
Other
Keywords
Laboratory MIPL VICAR artificial intelligence AI
Multimission VICAR Planner MVP image processing Multimission Image Processing

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