A Genetic Programming Framework for Error Recovery in Robotic Assembly Systems

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Baydar:2000:GECCO,

• author = "Cem M. Baydar and Kazuhiro Saitou",
• title = "A Genetic Programming Framework for Error Recovery in Robotic Assembly Systems",
• pages = "756",
• year = "2000",
• publisher = "Morgan Kaufmann",
• booktitle = "Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000)",
• editor = "Darrell Whitley and David Goldberg and Erick Cantu-Paz and Lee Spector and Ian Parmee and Hans-Georg Beyer",
• address = "Las Vegas, Nevada, USA",
• publisher_address = "San Francisco, CA 94104, USA",
• month = "10-12 " # jul,
• keywords = "genetic algorithms, genetic programming, Poster",
• ISBN = "1-55860-708-0",
• URL = "http://gpbib.cs.ucl.ac.uk/gecco2000/RW036.pdf",
• size = "1 page",
• abstract = "The advantages and performance of genetic programming in the use of error recovery planning in robotic assembly systems are presented. A framework is developed and coupled with a 3D robotic simulation software for the generation of error recovery logic in assembly systems to generate robust recovery programs in robot language itself. Performance of the system is evaluated with the simulations made on a three dimensionally modeled automated assembly line. The obtained results showed that the system is efficient of generating robust recovery plans for different error states.",
• notes = "A joint meeting of the ninth International Conference on Genetic Algorithms (ICGA-2000) and the fifth Annual Genetic Programming Conference (GP-2000) Part of \cite{whitley:2000:GECCO}",

}

Genetic Programming entries for Cem M Baydar Kazuhiro Saitou

Citations