A Hierarchical Approach for Adaptive Humanoid Robot Control

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

@InProceedings{liu:2004:ahafahrc,
  title =        "A Hierarchical Approach for Adaptive Humanoid Robot
                 Control",
  author =       "Hongwei Liu and Hitoshi Iba",
  pages =        "1546--1553",
  booktitle =    "Proceedings of the 2004 IEEE Congress on Evolutionary
                 Computation",
  year =         "2004",
  publisher =    "IEEE Press",
  month =        "20-23 " # jun,
  address =      "Portland, Oregon",
  ISBN =         "0-7803-8515-2",
  keywords =     "genetic algorithms, genetic programming, Real-world
                 applications, Evolutionary design \& evolvable
                 hardware, CBR",
  URL =          "http://www.iba.k.u-tokyo.ac.jp/papers/2004/lhwCEC2004.pdf",
  DOI =          "doi:10.1109/CEC.2004.1331080",
  abstract =     "The key idea in our approach is to extract control
                 rules with GP in simplified simulation and get a
                 prototype of the control program then interpret and
                 interpolate it with CBR in the real world environments.
                 Accordingly, our proposed approach consists of two
                 stages: the evolution stage and the adaptation stage.
                 In the first stage, the prototype of the control
                 program is evolved based on abstract primitive
                 behaviors in a highly simplified simulation. In the
                 second stage, the best control program is applied to a
                 physical robot thereby adapting it to the real world
                 environments by using CBR.",
  notes =        "CEC 2004 - A joint meeting of the IEEE, the EPS, and
                 the IEE.",
}

Genetic Programming entries for Hongwei Liu Hitoshi Iba

Citations