Evolution of Efficient Gait with an Autonomous Biped Robot using Visual Feedback
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{WolNor02a,
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author = "Krister Wolff and Peter Nordin",
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title = "Evolution of Efficient Gait with an Autonomous Biped
Robot using Visual Feedback",
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booktitle = "Proceedings of the Mechatronics 2002 Conference",
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year = "2002",
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editor = "Job {van Amerongen} and Ben Jonker and
Paul Regtien and Stefano Stramigioli",
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publisher = "Drebbel Institute for Mechatronics",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "90-365-1766-4",
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URL = "http://www4.cs.umanitoba.ca/~jacky/Robotics/Papers/wolff-walking-visual-feedback.pdf",
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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