SOURCE-LINKED INTELLIGENCE
Map2Route: Benchmarking Compositional Language-Grounded Route Planning over Semantic Maps
We introduce Map2Route, a human-curated benchmark for compositional language-grounded route planning over pre-built semantic maps. Map2Route contains 1,000 episodes across 40 scenes, where instructions use relational, comparative, and nested descriptions to identify route-relevant objects and regions, while specifying ordered must-pass regions, must-avoid requirements, five categories of soft preferences, and spatial and route-stage scopes, which is partially tested by existing works. Alongside Map2Route, we propose Grounding2Route, which combines executable code-as-grounding with verification
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-15T23:11:47.000Z
First collected: 2026-09-20T08:20:57.646Z. This is not the publication date.