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Hierarchical Neural Radiance Representation for Efficient Lookahead Exploration in Continuous Vision-Language Navigation
The proposed hierarchical neural radiance (HNR) representation model produces multi-level semantic features for future environments, enabling efficient lookahead exploration and improved navigation planning in continuous vision-language navigation tasks.
Generating Navigation Instructions from Semantic Maps
The core message of this paper is that using top-down semantic maps as the main input for generating navigation instructions is a feasible approach, and incorporating additional information such as region names, actions, and prompts can further improve the quality of the generated instructions.
TINA: Think, Interaction, and Action Framework for Zero-Shot Vision Language Navigation
Utilizing Large Language Models (LLMs) with the TINA framework enhances zero-shot navigation capabilities in Vision-Language Navigation tasks.
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