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Multifrequency computational optimization of robot path planning algorithms

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Bibliographic Details
Summary: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.
Main Authors:Tenreiro Machado, J. A.
Other Authors:Cordeiro, Carla S. M.; Horváth, L.; Tar, József
Subject:Path planning Multirate sampling Computational load Optimization
Year:1999
Country:Portugal
Document type:conference output
Access type:open access
Associated institution:Instituto Politécnico do Porto
Language:English
Origin:Repositório Científico do Instituto Politécnico do Porto
Description
Summary: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.