| Texto completo | |
| Autor(es): |
Biazzi, Renata B.
;
Fujita, Andre
;
Takahashi, Daniel Y.
Número total de Autores: 3
|
| Tipo de documento: | Artigo Científico |
| Fonte: | PROCEEDINGS OF THE 2021 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION, GECCO 2021 COMPANION; v. N/A, p. 2-pg., 2021-01-01. |
| Resumo | |
Organisms with different body morphology and movement dynamics have distinct abilities to move through the environment. Despite such truism, there is a lack of general principles that predict which shapes and dynamics make the organisms more fit to move. Studying a minimal yet embodied soft robot model under the influence of gravity, we find three features that predict robot locomotion fitness: (1) A larger body is better. (2) Two-point contact with the ground is better than one-point contact. (3) Out-of-phase oscillating body parts increase locomotion fitness. These design principles can guide the selection rules for evolutionary algorithms to obtain robots with higher locomotion fitness. (AU) | |
| Processo FAPESP: | 20/01479-1 - Classificação de estados do corpo/mente para uma interface homem-máquina baseada na variabilidade da frequência cardíaca |
| Beneficiário: | André Fujita |
| Modalidade de apoio: | Auxílio à Pesquisa - Programa eScience e Data Science - Regular |
| Processo FAPESP: | 18/21934-5 - Estatística de redes: teoria, métodos e aplicações |
| Beneficiário: | André Fujita |
| Modalidade de apoio: | Auxílio à Pesquisa - Temático |