Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/15342
Título: | Multi-objective parameter CPG optimization for gait generation of a quadruped robot considering behavioral diversity |
Autor(es): | Oliveira, Miguel Santos, Cristina Costa, L. Matos, Vítor Ferreira, Manuel João Oliveira |
Data: | 2011 |
Editora: | IEEE |
Revista: | Ieee International Conference on Intelligent Robots and Systems |
Resumo(s): | This paper presents a gait multi-objective optimization system that combines bio-inspired Central Patterns Generators (CPGs) and a multi-objective evolutionary algorithm. CPGs are modeled as autonomous differential equations, that generate the necessary limb movement to perform the required walking gait. In order to optimize the walking gait, four conflicting objectives are considered, simultaneously: minimize the body vibration, maximize the velocity, maximize the wide stability margin and maximize the behavioral diversity. The results of NSGA-II for this multi-objective problem are discussed. The effect of the inclusion of a behavioral diversity objective in the system is also studied in terms of the walking gait achieved. The experimental results show the effectiveness of this multi-objective approach. The several walking gait solutions obtained correspond to different trade-off between the objectives. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/15342 |
ISBN: | 9781612844541 |
DOI: | 10.1109/IROS.2011.6048438 |
ISSN: | 2153-0858 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | DEI - Artigos em atas de congressos internacionais |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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C53-Multi-objective Parameter CPG Optimization for Gait Generation of a Quadruped Robot Considering Behavioral Diversity.pdf | 184,66 kB | Adobe PDF | Ver/Abrir |