Abstract: Machine learning (ML) has been considered a promising approach for indoor localization. Nevertheless, existing ML approaches require a large amount of computational resources and data ...
Abstract: In this work, we propose a high-order regularization method to solve the ill-conditioned problems in robot localization. Numerical solutions to robot localization problems are often unstable ...
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