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LT-Mem achieves consistent object identity across sessions, enabling robots to answer complex queries about object histories without succumbing to temporal amnesia.
Achieve 7x better accuracy in collaborative monocular SLAM by explicitly modeling and correcting for per-session scale ambiguity.
