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Humanoid robot gait optimization: simulated annealing and genetic algorithm comparative study

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Detalhes bibliográficos
Resumo:There are several approaches to create the Humanoid robot gait planning. This problem presents a large number of unknown parameters that should be found to make the humanoid robot to walk. Optimization in simulation models can be used to find the gait based on several criteria such as energy minimization, acceleration, step length among the others. The presented paper addresses a comparison between two optimization methods, the Stretched simulated annealing (SSA) and the Genetic Algorithm (GA), that runs in an accurate and stable simulation model. Final results show the comparative study and proves the gait optimization technique.
Autores principais:Pereira, Ana I.
Outros Autores:Lima, José; Costa, Paulo Gomes da
Assunto:Humanoid gait Optimization
Ano:2013
País:Portugal
Tipo de documento:comunicação em conferência
Tipo de acesso:acesso aberto
Instituição associada:Instituto Politécnico de Bragança
Idioma:inglês
Origem:Biblioteca Digital do IPB
Descrição
Resumo:There are several approaches to create the Humanoid robot gait planning. This problem presents a large number of unknown parameters that should be found to make the humanoid robot to walk. Optimization in simulation models can be used to find the gait based on several criteria such as energy minimization, acceleration, step length among the others. The presented paper addresses a comparison between two optimization methods, the Stretched simulated annealing (SSA) and the Genetic Algorithm (GA), that runs in an accurate and stable simulation model. Final results show the comparative study and proves the gait optimization technique.