Dimentional optimization of a Delta parallel robot based on a lower energy consumption
Abstract
This paper presents an optimal dimension estimation of a Delta parallel robot based on a lower energy consumption. It also presents the description of the experimental platform, kinematic and dynamic analysis. The optimization algorithm (genetic algorithms) takes into account restrictions, such as covering a semi-spherical workspace with a specific radius and the interference analysis.Downloads
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