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ReMemNav: A Rethinking and Memory-Augmented Framework for Zero-Shot Object Navigation

Description

Zero-shot object navigation requires agents to locate unseen target objects in unfamiliar environments without prior maps or task-specific training which remains a significant challenge. Although recent advancements in vision-language models(VLMs) provide promising commonsense reasoning capabilities for this task, these models still suffer from spatial hallucinations, local exploration deadlocks, and a disconnect between high-level semantic intent and low-level control. In this regard, we propos

Source

http://arxiv.org/abs/2603.26788v2