%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 }