AI RESEARCH
OpenFrontier: General Navigation with Visual-Language Grounded Frontiers
arXiv CS.CV
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ArXi:2603.05377v2 Announce Type: replace-cross Open-world navigation requires robots to make decisions in complex everyday environments while adapting to flexible task requirements. Conventional navigation approaches often rely on dense 3D reconstruction and hand-crafted goal metrics, which limits their generalization across tasks and environments. Recent advances in vision-language navigation (VLN) and vision-language-action (VLA) models enable end-to-end policies conditioned on natural language, but typically require interactive.