Room-to-Room (R-2R)

The Room-to-Room (R-2R) dataset is a benchmark used to evaluate Vision-and-Language Navigation (VLN) systems by providing natural language instructions for navigating through unfamiliar environments.

Papers using Room-to-Room (R-2R) (5)

Learning to Retrieve Navigable Candidates for Efficient Vision-and-Language Navigation2026Following Route Instructions using Large Vision-Language Models: A Comparison between Low-level and Panoramic Action Spaces2025Transferable Representation Learning in Vision-and-Language Navigation2019 · 88 citesGrounded Entity-Landmark Adaptive Pre-training for Vision-and-Language Navigation2023NavCoT: Boosting LLM-Based Vision-and-Language Navigation via Learning Disentangled Reasoning2024