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Multifrequency computational optimization of robot path planning algorithms

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Detalhes bibliográficos
Resumo:The computational burden of robot trajectory planning algorithms may be significant, namely when the inverse kinematics is required. Nevertheless, the variables involved have distinct bandwidths. Therefore, they have different effects upon the final result and we can adopt a multifrequency strategy for the calculations, namely using different frequencies for the robot joint positions, velocities and accelarations. In the line of thought, this paper compares a multirate trajectory planning scheme in the cartesin space in contrast with the classical monofrequency claculation strategy.
Autores principais:Tenreiro Machado, J. A.
Outros Autores:Cordeiro, Carla S. M.; Horváth, L.; Tar, József
Assunto:Path planning Multirate sampling Computational load Optimization
Ano:1999
País:Portugal
Tipo de documento:documento de conferência
Tipo de acesso:acesso aberto
Instituição associada:Instituto Politécnico do Porto
Idioma:inglês
Origem:Repositório Científico do Instituto Politécnico do Porto
Descrição
Resumo:The computational burden of robot trajectory planning algorithms may be significant, namely when the inverse kinematics is required. Nevertheless, the variables involved have distinct bandwidths. Therefore, they have different effects upon the final result and we can adopt a multifrequency strategy for the calculations, namely using different frequencies for the robot joint positions, velocities and accelarations. In the line of thought, this paper compares a multirate trajectory planning scheme in the cartesin space in contrast with the classical monofrequency claculation strategy.