Gait Optimisation for Distinct Horse Models using Grammatical Evolution

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Murphy:2009:MENDEL,

• author = "James Murphy and Michael O'Neill and Hamish Carr",
• title = "Gait Optimisation for Distinct Horse Models using Grammatical Evolution",
• booktitle = "15th International Conference on Soft Computing, Mendel'09",
• year = "2009",
• editor = "R. Matousek and L. Nolle",
• address = "Brno, Czech Republic",
• month = "24-26 " # jun,
• keywords = "genetic algorithms, genetic programming, grammatical evolution, physics-based animation, horse, gait optimisation, spring-damper system",
• isbn13 = "978-80-214-3884-2",
• URL = "http://ncra.ucd.ie/papers/mendel2009GAIT.pdf",
• size = "8 pages",
• abstract = "Motion data is required for realistic animation of physics-based animal models. This data is expensive to acquire for a single animal and in herd situations, the large variation in animal shape and consequent motion increases this expense. We propose a method in which data measured from a single horse can be used to animate horses of different age, breed and conformation. The construction and animation of a physics-based horse is described. Details of an application, which automatically generates horse models of a user-specified age, are also presented. We compare two approaches in which Grammatical Evolution is used to optimise a generated model's motion parameters, to produce realistic motion. In one approach, the constant coefficients of a model's spring-damper based muscle system are optimised prior to the gait optimisation. We contrast this method with a parallel optimisation of both spring-damper constants and gait. The sequential approach was found to be the most successful for gait optimisation.",
• notes = "ID09044 http://www.mendel-conference.org/tmp/ScheduleMendel2009b.pdf Also in electronic form ISSN 1803-3814",

}

Genetic Programming entries for James Murphy Michael O'Neill Hamish Carr

Citations