R-2R-CE

The 'R2R-CE' dataset/benchmark contains a collection of navigation tasks that evaluate the ability of agents to follow natural language instructions in unseen environments.

Papers using R-2R-CE (3)

P2DNav: Panorama-to-Downview Reasoning for Zero-shot Vision-and-Language Navigation2026One Agent to Guide Them All: Empowering MLLMs for Vision-and-Language Navigation via Explicit World Representation2026STRIDER: Navigation via Instruction-Aligned Structural Decision Space Optimization2025