Evolving Bipedal Locomotion with Genetic Programming --- A Preliminary Report ---

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

@InProceedings{ok:2001:eblgpapr,
  author =       "Sooyol Ok and Kazuo Miyashita and Kazunor Hase",
  title =        "Evolving Bipedal Locomotion with Genetic Programming
                 --- A Preliminary Report ---",
  booktitle =    "Proceedings of the 2001 Congress on Evolutionary
                 Computation CEC2001",
  year =         "2001",
  pages =        "1025--1032",
  address =      "COEX, World Trade Center, 159 Samseong-dong,
                 Gangnam-gu, Seoul, Korea",
  publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
                 08855-1331, USA",
  month =        "27-30 " # may,
  organisation = "IEEE Neural Network Council (NNC), Evolutionary
                 Programming Society (EPS), Institution of Electrical
                 Engineers (IEE)",
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming, Neural
                 Oscillators, Bipedal Walking, Central Pattern
                 Generator(CPG), Feedback Network",
  ISBN =         "0-7803-6658-1",
  URL =          "http://staff.aist.go.jp/k.miyashita/publications/cec.ps",
  DOI =          "doi:10.1109/CEC.2001.934303",
  abstract =     "Shows how genetic programming can be applied to the
                 task of evolving the neural oscillators that produce
                 the coordinated movements of human-like bipedal
                 locomotion. In biomechanical engineering research,
                 robotics and neurophysiology, it is of major interest
                 to clarify the mechanism of human bipedal walking. This
                 serves as the basis for developing several
                 applications, such as rehabilitation tools and humanoid
                 robots. Nevertheless, because of the complexity of the
                 neuronal system that interacts with the body dynamics
                 system to make walking movements, much is left unknown
                 about the details of the locomotion mechanism.
                 Researchers have previously been looking for the
                 optimal model of the neuronal system by trial and
                 error. In this paper, we apply genetic programming to
                 induce the model of the nervous system automatically
                 and show its effectiveness by simulating a human
                 bipedal gait with the obtained model. Our experimental
                 results are preliminary but they show some promising
                 evidence for further improvements",
  notes =        "CEC-2001 - A joint meeting of the IEEE, Evolutionary
                 Programming Society, Galesia, and the IEE.

                 IEEE Catalog Number = 01TH8546C,

                 Library of Congress Number = .

                 lil-gp. Redhat linux cluster machine",
}

Genetic Programming entries for Sooyol Ok Kazuo Miyashita Kazunori Hase

Citations