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Linguistic Trajectory Encoding for Efficient Long-Horizon Spatial Memory in Embodied Agents
Linguistic Trajectory Encoding compresses long-horizon object motion into hybrid language-spatial-visual timelines, outperforming baselines on multi-day spatial memory benchmarks with high compression and sub-second queries.
Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026
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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 1/5