Gait Optimisation for Distinct Horse Models using Grammatical Evolution

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@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