Evolution of Efficient Gait with Humanoids using Visual Feedback

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Krister Wolff and Peter Nordin",
  title =        "Evolution of Efficient Gait with Humanoids using
                 Visual Feedback",
  booktitle =    "Proceedings of the 2nd IEEE-RAS International
                 Conference on Humanoid Robots",
  year =         "2001",
  pages =        "99--106",
  publisher =    "Institute of Electrical and Electronics Engineers,
  keywords =     "genetic algorithms, genetic programming, humanoid
                 robotics, embodied artificial intelligence",
  URL =          "http://fy.chalmers.se/~wolff/WN_Humanoids01.pdf",
  ISBN =         "4-9901025-0-9",
  abstract =     "In this paper we present the autonomous, walking
                 humanoids Priscilla, ELVIS and ELVINA and an experiment
                 using evolutionary adaptive systems. We also present
                 the anthropomorphic principles behind our humanoid
                 project and the multistage development methodology. The
                 adaptive evolutionary system used is a steady state
                 evolutionary strategy running on the robot's onboard
                 computer. Individuals are evaluated and fitness scores
                 are automatically determined using the robots onboard
                 digital cameras and near-infrared range sensor. The
                 experiments are performed in order to optimise a by
                 hand developed locomotion controller. By using this
                 system, we evolved gait patterns that locomote the
                 robot in a straighter path and in a more robust way,
                 than the previously manually developed gait did.",
  notes =        "cf \cite{WolNor02a}


Genetic Programming entries for Krister Wolff Peter Nordin