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A hybrid event-based SLAM system, Edged USLAM, achieves consistently accurate localization in challenging illumination and structured environments where event-only and learning-based methods falter.
GIANT outperforms existing multi-robot navigation methods by fusing global path awareness with attentive local adjustments, achieving superior collision avoidance and efficiency in complex, dynamic environments.
