Linguistic Trajectory Encoding for Efficient Long-Horizon Spatial Memory in Embodied Agents.

arXiv:2609.04802v3 Announce Type: replace-cross Abstract: Embodied agents performing long-horizon tasks require a memory representation in which the state transitions of dynamic objects remain queryable in natural language across hours-to-days observation hori