Biologically-inspired motion pattern design of multi-legged creatures

This source preferred by Jian Chang and Jian Jun Zhang

This data was imported from DBLP:

Authors: Guo, S., Tharib, S., Chang, J. and Zhang, J.-J.

Editors: Machado, P., McDermott, J. and Carballal, A.

https://doi.org/10.1007/978-3-642-36955-1

Journal: EvoMUSART

Volume: 7834

Pages: 145-156

Publisher: Springer

ISBN: 978-3-642-36954-4

This data was imported from Scopus:

Authors: Guo, S., Tharib, S., Chang, J. and Zhang, J.

Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volume: 7834 LNCS

Pages: 145-156

eISSN: 1611-3349

ISBN: 9783642369544

ISSN: 0302-9743

DOI: 10.1007/978-3-642-36955-1_13

In this paper, we propose a novel strategy to synthesize motion patterns for multi-legged creatures inspired by the biological knowledge. To prove the concept, our framework deploys an approach of coupling the dynamics model, the Inverted Pendulum Model, and the biological controller, the Central Pattern Generator, to synthesize the motion of multiple legged creatures. The dynamics model ensures the physical plausibility and allows the virtual character to react to the external perturbations, where the biological controller coordinates the motion of several legs with designed numerical operators, providing user-friendly high-level control. This novel framework is computationally efficient by taking advantages of the self-similarity in motion and able to animate characters with different skeletons. © 2013 Springer-Verlag.

The data on this page was last updated at 04:51 on October 15, 2018.