AI RESEARCH
LASAR: Towards Spatio-temporal Reasoning with Latent Cognitive Map
arXiv CS.CV
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ArXi:2605.16899v1 Announce Type: new A fundamental challenge in embodied AI is verifying if agents build internal models of spatial structure or merely learn to mimic task-specific expert trajectories. This is critical as foundational approaches rooted in action-centric tasks (e.g., VLN) and reasoning-centric tasks (e.g., EQA) often share a common limitation: they lack a learning signal that forces them to encode fine-grained spatial relationships (like topology or distance) over long-range, fragmented experiences.