Evolving Bipedal Locomotion with Genetic Programming
--- A Preliminary Report ---
S. Ok, K. Miyashita, and K. Hase. Proceedings of the 2001 Congress on Evolutionary
Computation CEC2001, page 1025--1032. COEX, World Trade Center, 159 Samseong-dong,
Gangnam-gu, Seoul, Korea, IEEE Press, (27-30 May 2001)
DOI: doi:10.1109/CEC.2001.934303
Abstract
Shows how genetic programming can be applied to the
task of evolving the neural oscillators that produce
the coordinated movements of human-like bipedal
locomotion. In biomechanical engineering research,
robotics and neurophysiology, it is of major interest
to clarify the mechanism of human bipedal walking. This
serves as the basis for developing several
applications, such as rehabilitation tools and humanoid
robots. Nevertheless, because of the complexity of the
neuronal system that interacts with the body dynamics
system to make walking movements, much is left unknown
about the details of the locomotion mechanism.
Researchers have previously been looking for the
optimal model of the neuronal system by trial and
error. In this paper, we apply genetic programming to
induce the model of the nervous system automatically
and show its effectiveness by simulating a human
bipedal gait with the obtained model. Our experimental
results are preliminary but they show some promising
evidence for further improvements
COEX, World Trade Center, 159 Samseong-dong,
Gangnam-gu, Seoul, Korea
booktitle
Proceedings of the 2001 Congress on Evolutionary
Computation CEC2001
year
2001
month
27-30 May
pages
1025--1032
publisher
IEEE Press
organisation
IEEE Neural Network Council (NNC), Evolutionary
Programming Society (EPS), Institution of Electrical
Engineers (IEE)
publisher_address
445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
08855-1331, USA
isbn
0-7803-6658-1
notes
CEC-2001 - A joint meeting of the IEEE, Evolutionary
Programming Society, Galesia, and the IEE.
IEEE Catalog Number = 01TH8546C,
Library of Congress Number = .
lil-gp. Redhat linux cluster machine
%0 Conference Paper
%1 ok:2001:eblgpapr
%A Ok, Sooyol
%A Miyashita, Kazuo
%A Hase, Kazunor
%B Proceedings of the 2001 Congress on Evolutionary
Computation CEC2001
%C COEX, World Trade Center, 159 Samseong-dong,
Gangnam-gu, Seoul, Korea
%D 2001
%I IEEE Press
%K Bipedal Central Feedback Generator(CPG), Network Neural Oscillators, Pattern Walking, algorithms, genetic programming,
%P 1025--1032
%R doi:10.1109/CEC.2001.934303
%T Evolving Bipedal Locomotion with Genetic Programming
--- A Preliminary Report ---
%U http://staff.aist.go.jp/k.miyashita/publications/cec.ps
%X Shows how genetic programming can be applied to the
task of evolving the neural oscillators that produce
the coordinated movements of human-like bipedal
locomotion. In biomechanical engineering research,
robotics and neurophysiology, it is of major interest
to clarify the mechanism of human bipedal walking. This
serves as the basis for developing several
applications, such as rehabilitation tools and humanoid
robots. Nevertheless, because of the complexity of the
neuronal system that interacts with the body dynamics
system to make walking movements, much is left unknown
about the details of the locomotion mechanism.
Researchers have previously been looking for the
optimal model of the neuronal system by trial and
error. In this paper, we apply genetic programming to
induce the model of the nervous system automatically
and show its effectiveness by simulating a human
bipedal gait with the obtained model. Our experimental
results are preliminary but they show some promising
evidence for further improvements
%@ 0-7803-6658-1
@inproceedings{ok:2001:eblgpapr,
abstract = {Shows how genetic programming can be applied to the
task of evolving the neural oscillators that produce
the coordinated movements of human-like bipedal
locomotion. In biomechanical engineering research,
robotics and neurophysiology, it is of major interest
to clarify the mechanism of human bipedal walking. This
serves as the basis for developing several
applications, such as rehabilitation tools and humanoid
robots. Nevertheless, because of the complexity of the
neuronal system that interacts with the body dynamics
system to make walking movements, much is left unknown
about the details of the locomotion mechanism.
Researchers have previously been looking for the
optimal model of the neuronal system by trial and
error. In this paper, we apply genetic programming to
induce the model of the nervous system automatically
and show its effectiveness by simulating a human
bipedal gait with the obtained model. Our experimental
results are preliminary but they show some promising
evidence for further improvements},
added-at = {2008-06-19T17:46:40.000+0200},
address = {COEX, World Trade Center, 159 Samseong-dong,
Gangnam-gu, Seoul, Korea},
author = {Ok, Sooyol and Miyashita, Kazuo and Hase, Kazunor},
biburl = {https://www.bibsonomy.org/bibtex/2cf09f6b99f05a6fd7490a1796e41e844/brazovayeye},
booktitle = {Proceedings of the 2001 Congress on Evolutionary
Computation CEC2001},
doi = {doi:10.1109/CEC.2001.934303},
interhash = {3e215cf9069d8ced39d1f2ebbc52b632},
intrahash = {cf09f6b99f05a6fd7490a1796e41e844},
isbn = {0-7803-6658-1},
keywords = {Bipedal Central Feedback Generator(CPG), Network Neural Oscillators, Pattern Walking, algorithms, genetic programming,},
month = {27-30 May},
notes = {CEC-2001 - A joint meeting of the IEEE, Evolutionary
Programming Society, Galesia, and the IEE.
IEEE Catalog Number = 01TH8546C,
Library of Congress Number = .
lil-gp. Redhat linux cluster machine},
organisation = {IEEE Neural Network Council (NNC), Evolutionary
Programming Society (EPS), Institution of Electrical
Engineers (IEE)},
pages = {1025--1032},
publisher = {IEEE Press},
publisher_address = {445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
08855-1331, USA},
timestamp = {2008-06-19T17:48:45.000+0200},
title = {Evolving Bipedal Locomotion with Genetic Programming
--- {A} Preliminary Report ---},
url = {http://staff.aist.go.jp/k.miyashita/publications/cec.ps},
year = 2001
}