A Comparative Study between Genetic Algorithm and Genetic Programming Based Gait Generation Methods for Quadruped Robots

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{conf/evoW/SeoH10,
  title =        "A Comparative Study between Genetic Algorithm and
                 Genetic Programming Based Gait Generation Methods for
                 Quadruped Robots",
  author =       "Kisung Seo and Soohwan Hyun",
  year =         "2010",
  booktitle =    "EvoApplications 2010",
  editor =       "Cecilia {Di Chio} and Stefano Cagnoni and 
                 Carlos Cotta and Marc Ebner and Aniko Ekart and 
                 Anna I. Esparcia-Alcazar and Chi-Keong Goh and 
                 Juan J. Merelo and Ferrante Neri and Mike Preuss and 
                 Julian Togelius and Georgios N. Yannakakis",
  volume =       "6024",
  series =       "Lecture Notes in Computer Science",
  pages =        "352--360",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1007/978-3-642-12239-2_37",
  bibdate =      "2010-04-12",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/conf/evoW/evoappl2010-1.html#SeoH10",
  abstract =     "Planning gaits for legged robots is a challenging task
                 that requires optimising parameters in a highly
                 irregular and multidimensional space. Two gait
                 generation methods using GA (Genetic Algorithm), GP
                 (genetic programming) are compared to develop fast
                 locomotion for a quadruped robot. GA-based approaches
                 seek to optimize a pre-selected set of parameters which
                 include locus of paw and stance parameters of initial
                 position. A GP-based technique is an effective way to
                 generate a few joint trajectories instead of the locus
                 of paw positions and many stance parameters.
                 Optimisations for two proposed methods are executed and
                 analysed using a Webots simulation of the quadruped
                 robot built by Bioloid. Furthermore, simulation results
                 for the two proposed methods are tested in a real
                 quadruped robot, and the performance and motion
                 features of GA-, GP -based methods are compared.",
  affiliation =  "Seokyeong University Dept. of Electronic Engineering
                 Seoul Korea",
}

Genetic Programming entries for Kisung Seo Soohwan Hyun

Citations