Evolution of Efficient Gait with an Autonomous Biped Robot using Visual Feedback

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

@InProceedings{WolNor02a,
  author =       "Krister Wolff and Peter Nordin",
  title =        "Evolution of Efficient Gait with an Autonomous Biped
                 Robot using Visual Feedback",
  booktitle =    "Proceedings of the Mechatronics 2002 Conference",
  year =         "2002",
  editor =       "Job {van Amerongen} and Ben Jonker and 
                 Paul Regtien and Stefano Stramigioli",
  publisher =    "Drebbel Institute for Mechatronics",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "90-365-1766-4",
  URL =          "http://www4.cs.umanitoba.ca/~jacky/Robotics/Papers/wolff-walking-visual-feedback.pdf",
  abstract =     "We have developed an autonomous, walking humanoid
                 robot 'elvina' and performed experiments in
                 evolutionary programming with it, in order to optimize
                 a by hand developed locomotion controller. A steady
                 state evolutionary strategy is running on the robot's
                 onboard computer. Individuals are evaluated and fitness
                 scores are automatically determined using the robots on
                 board vision system and sensors. By using this system,
                 we evolve gait patterns that locomote the robot in a
                 straighter path and in a more robust way than the
                 previously manually developed gait did.",
}

Genetic Programming entries for Krister Wolff Peter Nordin

Citations