Abstract
In this article, we consider an approach for the optimal multi-objective constrained design of the parallel robots. Optimization is carried out according to two key criteria: the workspace area and the global dexterity index (GDI) concerning constrain. The workspace is the area that the robot can serve. The value of the GDI correlates with the quality of this service. Both objectives are maximized. However, there is a tradeoff between these goals, and they can't achieve maximums at the same point. Therefore, the solution for this problem is a Pareto- optimal frontier (the set of points, which can’t be optimized in any criteria without worsening the other). The paper describes the robot’s kinematic and singularity analysis, workspace area approximation, the GDI calculation. The Pareto-frontier for the multi-objective constrained optimization problem under consideration is constructed. We also create representative visualization for robot workspace, singularity positions, and efficient Pareto-set.
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