Abstract: The Data Envelopment Analysis (DEA) is a nonparametric mathematical tool for evaluating the relative performance of homogenous (i.e. similar inputs and outputs) decision-making units (DMUs).
This research advances hybrid soft-rigid robot simulations, achieving up to 1000 times faster computations through analytical derivatives in the GVS framework.
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