Guided Optimization for Balanced Locomotion - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 1995

Guided Optimization for Balanced Locomotion

Résumé

Teaching simulated creatures how to walk and run is a challenging problem. As with a baby learning to walk, however, the task of synthesizing the necessary muscle control is simplified if an external hand to assist in maintaining balance is provided. A method if using guiding forces to allow progressive learning of control actions for balanced locomotion is presented. The process has three stages. Stage one involves using a “hand of God” to facilitate balance while the basic actions of a desired motion are learned. Stage two reduces the dependence on external guidance, yielding a more balanced motion. The method is applied to obtain walking motions for a simple biped and a bird-like mechanical creature, as well as walking, running, and skipping motions for a human model of realistic proportions.
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Dates et versions

inria-00510128 , version 1 (19-08-2010)

Identifiants

  • HAL Id : inria-00510128 , version 1

Citer

Michiel van de Panne, Alexis Lamouret. Guided Optimization for Balanced Locomotion. 6th Eurographics Workshop on Animation and Simulation, 1995, Maastricht, Netherlands. ⟨inria-00510128⟩
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