Automated generation of robust error recovery logic in assembly systems using genetic programming
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- @Article{Baydar200155,
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author = "Cem M. Baydar and Kazuhiro Saitou",
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title = "Automated generation of robust error recovery logic in
assembly systems using genetic programming",
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journal = "Journal of Manufacturing Systems",
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volume = "20",
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number = "1",
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pages = "55--68",
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year = "2001",
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ISSN = "0278-6125",
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DOI = "doi:10.1016/S0278-6125(01)80020-0",
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URL = "http://www.sciencedirect.com/science/article/B6VJD-441R1H8-6/2/cdebaddb30a67a67dc7cb6dd41fabf9f",
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keywords = "genetic algorithms, genetic programming, robotics,
Automated Assembly Systems, Error Recovery, Multi-Level
Optimization",
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abstract = "Automated assembly lines are subject to unexpected
failures, which can cause costly shutdowns. Generally,
the recovery process is done 'on-line' by human experts
or automated error recovery logic controllers embedded
in the system. However, these controller codes are
programmed based on anticipated error scenarios and,
due to the geometrical features of the assembly lines,
there may be error cases that belong to the same
anticipated type but are present in different
positions, each requiring a different way to recover.
Therefore, robustness must be assured in the sense of
having a common recovery algorithm for similar cases
during the recovery sequence.
The proposed approach is based on three-dimensional
geometric modeling of the assembly line coupled with
the genetic programming and multi-level optimization
techniques to generate robust error recovery logic in
an 'off-line' manner. The approach uses genetic
programming's flexibility to generate recovery plans in
the robot language itself. An assembly line is modeled
and from the given error cases an optimum way of error
recovery is investigated using multi-level optimization
in a 'generate and test' fashion. The obtained results
showed that with the improved convergence gained by
using multi-level optimisation, the infrastructure is
capable of finding robust error recovery algorithms. It
is expected that this approach will require less time
for the generation of robust error recovery logic.",
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notes = "IRB6000 KAREL2, ROUTINE GPcode26, Move to POS, Move
Relative...",
- }
Genetic Programming entries for
Cem M Baydar
Kazuhiro Saitou
Citations