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Map2Route: Benchmarking Compositional Language-Grounded Route Planning over Semantic Maps — arXiv:2609.17910

Source: arXiv (en)
Original: https://arxiv.org/abs/2609.17910
License (as archived): CC0-1.0
Archived: 2026-10-15T16:55:40.202Z
SHA-256 of the archived text: 44f1848a11494768b0df82e9f58a8f1a12e885a076731ceb9534eeaf53cc1be4
Stable URL of this page: https://metraipolis.com/documento/dc_8b8a4ea98bb4

How to cite

Map2Route: Benchmarking Compositional Language-Grounded Route Planning over Semantic Maps — arXiv:2609.17910 — arXiv (en), https://arxiv.org/abs/2609.17910 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_8b8a4ea98bb4 (Metraipolis archive dc_8b8a4ea98bb4, sha256 44f1848a11494768b0df82e9f58a8f1a12e885a076731ceb9534eeaf53cc1be4)

BibTeX

@misc{dc8b8a4ea98bb4,
  title = {Map2Route: Benchmarking Compositional Language-Grounded Route Planning over Semantic Maps — arXiv:2609.17910},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.17910},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_8b8a4ea98bb4; sha256 44f1848a11494768b0df82e9f58a8f1a12e885a076731ceb9534eeaf53cc1be4},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.17910. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

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-guided repair and scope-aware this http URL seven representative adapted baselines, Grounding2Route substantially outperforms existing methods in all metrics. Despite these gains, a substantial gap to human demonstrations remains, highlighting the difficulty of Map2Route and the considerable headroom for future progress. Additional qualitative results and resources are available on this https URL .

Tema degli esploratori: statistica e scienza dei dati (retro-catalogo arXiv: annunci del 2026-09-17 in cs.RO).
Categorie arXiv: Robotics (cs.RO).
Pagina del lavoro: https://arxiv.org/abs/2609.17910 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-15T16:13:27.244Z dalla pagina https://arxiv.org/catchup/cs.RO/2026-09-17?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).