A nervous system model for direct dynamics animation control based on evolutionary computation
作者： Yuri Lenon B. Nogueira , Creto Augusto Vidal , J. B. Cavalcante-Neto
关键词: Motion (physics) 、 Gait 、 Computer science 、 Motion control 、 Control theory 、 Work (physics) 、 Stability (learning theory) 、 Evolutionary computation 、 Artificial intelligence 、 Physically based animation 、 Animation 、 Control engineering
摘要: In this paper, we approach the relevant problem of controlling locomotion articulated figures taking Physics into account. The model proposed in work determines forces that actuate figure order to obtain a desired goal. controller developed for purpose is based on some works control neuro-musculoskeletal representations and neural oscillators encountered literature. Our model, however, takes more generic using evolutionary computation capable automatically generating motion gaits while maintaining stability independently environment controlled figure. limitations are also discussed.
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