Evolutionary Learning from First Principles of Biped Walking on a Simulated Humanoid Robot
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{wolff:2003a,
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author = "K. Wolff and P. Nordin",
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title = "Evolutionary Learning from First Principles of Biped
Walking on a Simulated Humanoid Robot",
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booktitle = "Proceedings of the Business and Industry Symposium of
the Advanced Simulation Technologies Conference
(ASTC'03)",
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year = "2003",
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editor = "M. Ades and L. M. Deschaine",
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pages = "31--36",
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address = "Orlando, FL, USA",
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month = mar # " 30-" # apr # " 3",
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publisher = "SCS",
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keywords = "genetic algorithms, genetic programming",
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URL = "http://fy.chalmers.se/~wolff/robot1.avi",
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URL = "http://publications.lib.chalmers.se/publication/72902",
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abstract = "We describe the first instance of a novel approach for
control programming of humanoid robots, based on
evolution. To overcome some of the difficulties with
evolution on real hardware, we use a physically
realistic simulation of the robot. The essential idea
is to evolve control programs from first principles on
a simulated robot, transfer the programs to the real
robot, and continue to evolve on the robot. As the key
motivation for using simulators, we describe an on-line
learning experiment with a humanoid robot. The Genetic
Programming system is implemented as a Virtual Register
Machine, with a linear genome, and steady state
tournament selection. Evolution created controller
programs that made the simulated robot produce forward
locomotion behaviour.",
-
notes = "robot1.avi ok Sep 2018 1493492 bytes 31 seconds.
",
- }
Genetic Programming entries for
Krister Wolff
Peter Nordin
Citations