Toward Automatic Gait Generation for Quadruped Robots Using Cartesian Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @InProceedings{Seo:evoapps13a,
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author = "Kisung Seo and Soohwan Hyun",
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title = "Toward Automatic Gait Generation for Quadruped Robots
Using Cartesian Genetic Programming",
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booktitle = "Applications of Evolutionary Computing,
EvoApplications 2013: EvoCOMNET, EvoCOMPLEX, EvoENERGY,
EvoFIN, EvoGAMES, EvoIASP, EvoINDUSTRY, EvoNUM, EvoPAR,
EvoRISK, EvoROBOT, EvoSTOC",
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year = "2013",
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month = "3-5 " # apr,
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editor = "Anna I. Esparcia-Alcazar and Antonio Della Cioppa and
Ivanoe {De Falco} and Ernesto Tarantino and
Carlos Cotta and Robert Schaefer and Konrad Diwold and
Kyrre Glette and Andrea Tettamanzi and
Alexandros Agapitos and Paolo Burrelli and J. J. Merelo and
Stefano Cagnoni and Mengjie Zhang and Neil Urquhart and Kevin Sim and
Aniko Ekart and Francisco {Fernandez de Vega} and
Sara Silva and Evert Haasdijk and Gusz Eiben and
Anabela Simoes and Philipp Rohlfshagen",
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series = "LNCS",
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volume = "7835",
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publisher = "Springer Verlag",
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address = "Vienna",
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publisher_address = "Berlin",
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pages = "599--605",
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organisation = "EvoStar",
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keywords = "genetic algorithms, genetic programming, Cartesian
Genetic Programming, Gait Generation, Sharing Modules,
Quadruped Robots Walking",
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isbn13 = "978-3-642-37191-2",
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DOI = "doi:10.1007/978-3-642-37192-9_60",
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size = "7 pages",
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abstract = "This paper introduces a new gait generation method for
quadruped robots using CGP (Cartesian Genetic
Programming) based on refinement of regression
polynomials for a joint trajectory. CGP uses as
genotype a linear string of integers that are mapped to
a directed graph. Therefore, some evolved modules for
regression polynomials in CGP can be shared and reused
among multiple outputs for joint trajectories. To
investigate the effectiveness of the proposed approach,
experiments on gaits were executed for a Bioloid
quadruped robot in the Webots environment.",
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notes = "
EvoApplications2013 held in conjunction with
EuroGP2013, EvoCOP2013, EvoBio'2013 and EvoMusArt2013",
- }
Genetic Programming entries for
Kisung Seo
Soohwan Hyun
Citations