Toward Automatic Gait Generation for Quadruped Robots Using Cartesian Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Seo:evoapps13a,
  author =       "Kisung Seo and Soohwan Hyun",
  title =        "Toward Automatic Gait Generation for Quadruped Robots
                 Using Cartesian Genetic Programming",
  booktitle =    "Applications of Evolutionary Computing,
                 EvoApplications 2013: EvoCOMNET, EvoCOMPLEX, EvoENERGY,
                 EvoFIN, EvoGAMES, EvoIASP, EvoINDUSTRY, EvoNUM, EvoPAR,
                 EvoRISK, EvoROBOT, EvoSTOC",
  year =         "2013",
  month =        "3-5 " # apr,
  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",
  series =       "LNCS",
  volume =       "7835",
  publisher =    "Springer Verlag",
  address =      "Vienna",
  publisher_address = "Berlin",
  pages =        "599--605",
  organisation = "EvoStar",
  keywords =     "genetic algorithms, genetic programming, Cartesian
                 Genetic Programming, Gait Generation, Sharing Modules,
                 Quadruped Robots Walking",
  isbn13 =       "978-3-642-37191-2",
  DOI =          "doi:10.1007/978-3-642-37192-9_60",
  size =         "7 pages",
  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.",
  notes =        "http://www.kevinsim.co.uk/evostar2013/cfpEvoApplications.html
                 EvoApplications2013 held in conjunction with
                 EuroGP2013, EvoCOP2013, EvoBio'2013 and EvoMusArt2013",
}

Genetic Programming entries for Kisung Seo Soohwan Hyun

Citations