Artificial intelligence has taken the world by storm. In biology, AI tools called deep neural networks (DNNs) have proven invaluable for predicting the results of genomic experiments. Their usefulness ...
Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...
Abstract: This paper describes the development, modeling and simulation of a quadruped robot, with an emphasis on generating stable walking patterns through kinematic control and dynamic analysis. The ...
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