SOURCE-LINKED INTELLIGENCE
LightNav-0: Eliciting VLM Spatial Intelligence for Generalist Embodied Navigation
Embodied navigation requires agents to translate heterogeneous goals and visual observations into actions across tasks, environments, and robot embodiments. Modern vision-language models (VLMs) already encode spatial priors for visual grounding, spatial reasoning, and pointing, but these capabilities are rarely elicited directly for robot control. Existing navigation systems instead rely on task- or embodiment-specific components, fragmenting perception, reasoning, and action while offering limited generalization. Here we present LightNav-0, a compact generalist embodied navigation model that
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-31T15:08:53.000Z
First collected: 2026-09-21T06:41:57.136Z. This is not the publication date.