Exploring grammatical evolution for horse gait optimisation

James E. Murphy, Michael O'Neill, Hamish Carr

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

13 Citations (Scopus)

Abstract

Physics-based animal animations require data for realistic motion. This data is expensive to acquire through motion capture and inaccurate when estimated by an artist. Grammatical Evolution (GE) can be used to optimise pre-existing motion data or generate novel motions. Optimised motion data produces sustained locomotion in a physics-based model. To explore the use of GE for gait optimisation, the motion data of a walking horse, from a veterinary publication, is optimised for a physicsbased horse model. The results of several grammars are presented and discussed. GE was found to be successful for optimising motion data using a grammar based on the concatenation of sinusoidal functions.

Original languageEnglish
Title of host publicationGenetic Programming - 12th European Conference, EuroGP 2009, Proceedings
Pages183-194
Number of pages12
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event12th European Conference on Genetic Programming, EuroGP 2009 - Tubingen, Germany
Duration: 15 Apr 200917 Apr 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5481 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference12th European Conference on Genetic Programming, EuroGP 2009
Country/TerritoryGermany
CityTubingen
Period15/04/0917/04/09

Keywords

  • Fourier analysis
  • Gait optimisation
  • Grammatical Evolution
  • Physics-based animation
  • Quadrupedal locomotion

Fingerprint

Dive into the research topics of 'Exploring grammatical evolution for horse gait optimisation'. Together they form a unique fingerprint.

Cite this