NavHarness: Adaptive Goals for Agentic Vision-Language Navigation
From the abstract
Vision-Language Navigation (VLN) requires embodied agents to generate actions based on instructions and observations. General-purpose multimodal agents offer a promising basis for this task, but selecting plausible local actions does not ensure that execution remains consistent with the intended route, particularly in long-horizon tasks.
From the abstract. Our summary is in progress.