Created by W.Langdon from gp-bibliography.bib Revision:1.6811
A cross-discipline review of animation systems, biological knowledge and natural computing techniques applicable to animal animation is presented. Focusing on the horse, the construction of both a kinematic and physics-based model is described. The origins and representations of the data used to construct and animate these models are also discussed.
GE is applied to animation problems for the first time. Animating physics-based models is complex and a GE motion optimisation system successfully generates realistic, stable motions. Additionally, simple grammars with little domain knowledge generate novel movement.
For herd scenes, a GE-based system generates models of varying morphology and automatically optimises motion data for them. GE also evolves motion adjuster functions that dynamically modify limb movement based on the model's velocity. These functions are used in a real-time controllable kinematic animation system, in which a horse model moves with an accurate gait and executes gait transitions when necessary.
Overall, the use of GE and natural world observations is found to facilitate the generation of realistic quadrupedal animal animations.",
Videos which accompany this thesis are available at http://www.james-e-murphy.ie/thesis.html.",
Genetic Programming entries for James Murphy