A nervous system model for direct dynamics animation control based on evolutionary computation

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A nervous system model for direct dynamics animation control based on evolutionary computation

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Symposium on Applied Computing archive
Proceedings of the 2008 ACM symposium on Applied computing table of contents

Fortaleza, Ceara, Brazil

SESSION: Applications of evolutionary computation table of contents

Pages 1793-1800

Year of Publication: 2008

ISBN:978-1-59593-753-7

Authors

Yuri Lenon B. Nogueira	Federal University of Ceará, Fortaleza, CE, Brazil
Creto Augusto Vidal	Federal University of Ceará, Fortaleza, CE, Brazil
J. B. Cavalcante-Neto	Federal University of Ceará, Fortaleza, CE, Brazil

Sponsor

SIGAPP: ACM Special Interest Group on Applied Computing

Publisher

ACM New York, NY, USA

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ABSTRACT

In this paper, we approach the relevant problem of controlling locomotion of articulated figures taking Physics into account. The model proposed in this work determines the forces that actuate the articulated figure in order to obtain a desired locomotion goal. The controller developed for that purpose is based on some of the works on control of neuro-musculoskeletal representations of articulated figures and on neural oscillators encountered in the literature. Our model, however, takes a more generic approach using evolutionary computation and is capable of automatically generating motion gaits while maintaining stability independently of the environment and of the controlled articulated figure. The limitations of the proposed controller are also discussed.

REFERENCES

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