Biologically-inspired motion pattern design of multi-legged creatures
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
Abstract: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.
Source: Scopus
Biologically-Inspired Motion Pattern Design of Multi-legged Creatures.
Authors: Guo, S., Tharib, S., Chang, J. and Zhang, J.-J.
Editors: Machado, P., McDermott, J. and Carballal, A.
Journal: EvoMUSART
Volume: 7834
Pages: 145-156
Publisher: Springer
ISBN: 978-3-642-36954-4
https://doi.org/10.1007/978-3-642-36955-1
Source: DBLP
Preferred by: Jian Chang and Jian Jun Zhang