SOURCE-LINKED INTELLIGENCE
Finder: Agentic Closed-Loop Object Finding for Embodied Grounding
Finding the object referred to by language in a partially observed 3D scene is a core capability for embodied agents. Existing approaches either couple object search with online exploration, which can be costly when relevant observations have already been captured, or query pre-built open-vocabulary maps and scene graphs in a static, one-shot fashion. We present Finder, an agentic closed-loop object-finding primitive for embodied grounding. Instead of treating grounding as passive retrieval from a fixed scene representation, Finder maintains a typed loop state that links query-conditioned plan
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-16T03:02:45.000Z
First collected: 2026-09-20T08:20:57.646Z. This is not the publication date.