AZoRobotics on MSN
New Analytical Method Makes Hybrid Soft-Rigid Robot Simulations Up to 1000× Faster
This research advances hybrid soft-rigid robot simulations, achieving up to 1000 times faster computations through analytical derivatives in the GVS framework.
In a Comment, Chen et al. argue that success in behavioural tests — including variants of the Turing test — is evidence of artificial general intelligence (AGI; see E. K. Chen et al. Nature 650, 36–40 ...
Abstract: In this article, we propose a novel non-iterative method, viz., the subspace-Rytov approximation (SRA) method, to solve inverse scattering problems. This method improves the inversion ...
Abstract: In recent years, researchers have proposed the approximation of model predictive control (MPC) using deep neural networks (DNNs). However, a limitation arises as DNNs inherently offer one-to ...
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