AI RESEARCH
FindAnything: Open-Vocabulary and Object-Centric Mapping for Robot Exploration in Any Environment
arXiv CS.AI
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ArXi:2504.08603v4 Announce Type: replace-cross Geometrically accurate and semantically expressive map representations have proven invaluable for robot deployment and task planning in unknown environments. Nevertheless, real-time, open-vocabulary semantic understanding of large-scale unknown environments still presents open challenges, mainly due to computational requirements. In this paper we present FindAnything, an open-world mapping framework that incorporates vision-language information into dense volumetric submaps.