Evolutionary generation of human-like bipedal locomotion

Mechatronics

Volumn 13, Issue 8-9 SPEC., 2003, Pages 791-807

  Miyashita, Kazuo ^a   Ok, Sooyol ^b   Hase, Kazunori ^a  

^a NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY AIST   (Japan)

^b CRL   (Japan)

Author keywords

Bipedal locomotion; Central pattern generator (CPG); Evolution; Genetic programming (GP); Neural oscillator

Indexed keywords

BIPED LOCOMOTION; MATHEMATICAL PROGRAMMING; ROBOTICS;

GENETIC PROGRAMMING (GP);

MECHATRONICS;

EID: 0038348342     PISSN: 09574158     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0957-4158(03)00003-5     Document Type: Article

References (12)

1. Garis H. Genetic programming: building artificial nervous systems using genetically programmed neural networks modules. In: Proceedings of the 7th International Conference on Machine Learning, 1990. p. 132-9.
2. Hase K., Yamazaki N. Computational evolution of human bipedal walking by a neuro-musculo-skeletal model. Artif. Life Rob. 3:1999;133-138.
3. Iba H. Evolving multiple agents by genetic programming. Advances in genetic programming. vol. 3:1999;447-466.
4. Ito S, Yuasa H, Luo Z, Ito K. Generation of locomotion patterns according to the energy consumption. In: Proceedings of 12th Annual Conference of Robotics Society of Japan, 1994. p. 1159-60.
5. Kimura H, Sakurama K, Akiyama S. Dynamic walking and running of the quadrupled using neural oscillator. In: Proceedings of IROS98, 1998. p. 50-7.
6. Koza JR, Rice JP. Genetic generation of both the weights and architecture for a neural network. In: Proceedings of the IEEE International Joint Conference on Neural Networks, vol. 2, 1991. p. 397-404.
7. Koza J.R. Genetic programming: on the programming of computers by means of natural selection. 1992;The MIT Press.
8. Meyer J. Evolutionary approaches to neural control in mobile robots. In: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998.
9. Ok S, Miyashita K, Nishihara S. Improving performance of GP by adaptive terminal selection. In: Proceedings of PRICAI 2000, 2000. p. 435-45.
10. Taga G., Yamaguchi Y., Shimizu H. Self-organized control of bipedal locomotion by neural oscillators in unpredictable environment. Biol. Cybernet. 65:1991;147-159.
11. Yao X. Evolving artificial neural networks. Proc. IEEE. 87(9):1999;1423-1447.
12. Zongker D, Punch D. lil-gp 1.0 User's Manual", 1995.