{
  "url": "https://appliedfrontier.nl/en/research/signal-34e2f92e26df87be/",
  "title": "BURGER: Benchmarking and Understanding Robotic Generalization via Embodied Drawing",
  "published": "2026-10-29",
  "excerpt": "How effectively can vision-language-action (VLA) models learn diverse language-conditioned behaviors as training data scales? Investigating this question requires large and varied robot datasets, whose collection",
  "content_sha256": "6ddd478aabf7cf230987f7f76b522f67284af7a1a8907cf104ef7a50a0efe5af",
  "extracted_chars": 1428,
  "artifact_links": [
    "https://arxiv.org/abs/2610.40532"
  ],
  "arxiv_id": "2610.40532",
  "extraction_scope": "preprint_abstract_metadata",
  "full_text_available": false,
  "id": "signal-34e2f92e26df87be",
  "org": "Research community",
  "topic": "Evaluation & safety",
  "source_kind": "preprint",
  "status": "unreviewed-source-report",
  "analysis_method": "deterministic_research_triage_v2",
  "novelty_verified": false,
  "proof_checked": false,
  "peer_review_verified": false,
  "matched_terms": [
    "Evaluation & safety"
  ],
  "checked_at": "2026-11-01T13:17:05+00:00",
  "first_seen": "2026-10-31T19:32:55+00:00",
  "source_hash": "c8b69c27782cd2e34d5f14a47412a7f1c33399dfaae73b1cdf2b8aa43023f393",
  "source_url": "https://arxiv.org/abs/2610.40532",
  "language": "en",
  "indexing": "noindex_until_editorially_enriched"
}
