{
  "url": "https://appliedfrontier.nl/en/research/signal-2dc1d1afd170fcc8/",
  "title": "Learning Safe Flow Matching Robot Policies from Binary Feasibility Oracles",
  "published": "2026-10-29",
  "excerpt": "Robot foundation models increasingly rely on flow-based action generation for general-purpose manipulation, yet the generated actions are not guaranteed to satisfy physical constraints such as",
  "content_sha256": "7d8393221ab67f0962b4a0052bcb4ec8b53f73ee4153eb6b38c3f6623840c5ab",
  "extracted_chars": 1060,
  "artifact_links": [
    "https://arxiv.org/abs/2610.40075"
  ],
  "arxiv_id": "2610.40075",
  "extraction_scope": "preprint_abstract_metadata",
  "full_text_available": false,
  "id": "signal-2dc1d1afd170fcc8",
  "org": "Research community",
  "topic": "Robotics & embodiment",
  "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": [
    "Robotics & embodiment"
  ],
  "checked_at": "2026-10-31T19:32:55+00:00",
  "first_seen": "2026-10-31T19:32:55+00:00",
  "source_hash": "04fbf3b8d2811ea39e69de786fb628bd89f0e9331a06eb700577adbe7766b3de",
  "source_url": "https://arxiv.org/abs/2610.40075",
  "language": "en",
  "indexing": "noindex_until_editorially_enriched"
}
