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

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@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