Abstract: Mobility in daily unstructured environments, particularly in human-centered scenarios, remains a fundamental challenge for mobile robots. While traditional prediction-based approaches ...
Abstract: Deep learning has advanced in image, audio, and text, but challenges such as heterogeneity and weak correlations remain in tabular data. This paper presents the FT-Mamba architecture, which ...
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