Abstract: Motivated by the challenges associated with achieving rapid convergence and high accuracy in tracking errors for $\bm n$-DOF uncertain hydraulic manipulators, this article delves into an ...
Abstract: Graph Neural Networks (GNNs) have become a powerful tool in order to learn from graph-structured data. Their ability to capture complex relationships and dependencies within graph structures ...
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