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  "story": {
    "story_id": "mp-2026-10-27-008",
    "source_story_id": "tmp-story-raiway-blind-locomotion",
    "edition_id": "mp-2026-10-27-morning-0109",
    "edition_url": "https://themachinepress.com/edition/2026-10-27",
    "position": 8,
    "story_type": "dispatch",
    "section": "robotics",
    "editorial_classification": "editorial",
    "headline": "The Wheeled Biped Feels the Ground Without Contact Sensors",
    "slug": "the-wheeled-biped-feels-the-ground-without-contact-sensors",
    "dek": "RAIWAY distills simulated wheel-terrain contacts into a latent state inferred from proprioception, then climbs tested outdoor stairs with 15-centimeter risers.",
    "summary": "RAIWAY distills simulated wheel-terrain contacts into a latent state inferred from proprioception, then climbs tested outdoor stairs with 15-centimeter risers.",
    "body_text": "Wheel-terrain contact is difficult to instrument directly and depends on more than visible geometry. RAIWAY pairs a large-wheeled biped with a controller that uses contact labels available in simulation to learn a compact latent representation. At deployment, the robot estimates that state from proprioception alone rather than direct contact sensing. The authors report real-world runs over steep slopes, gravel, studded surfaces and rocky terrain, including continuous ascent on the tested outdoor staircases with risers up to 15 centimeters. On their platform, the contact-informed controller also outperformed variants without that mechanism. The results belong to the in-house robot and evaluated environments; they do not establish general blind mobility for arbitrary terrain.",
    "why_it_matters": "RAIWAY distills simulated wheel-terrain contacts into a latent state inferred from proprioception, then climbs tested outdoor stairs with 15-centimeter risers.",
    "limitations": [
      "The results belong to the in-house robot and evaluated environments; they do not establish general blind mobility for arbitrary terrain."
    ],
    "importance": 9,
    "canonical_url": "https://themachinepress.com/story/mp-2026-10-27-008/the-wheeled-biped-feels-the-ground-without-contact-sensors",
    "json_url": "https://themachinepress.com/story/mp-2026-10-27-008.json",
    "first_published_at": "2026-10-27T09:00:00.000-04:00",
    "modified_at": "2026-10-27T09:00:00.000-04:00",
    "content_status": "new",
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    "carryover_reason": null,
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        "text": "RAIWAY distills simulated wheel-terrain contacts into a latent state inferred from proprioception, then climbs tested outdoor stairs with 15-centimeter risers.",
        "source_ids": [
          "source-2026-10-27-008"
        ],
        "qualification": "The results belong to the in-house robot and evaluated environments; they do not establish general blind mobility for arbitrary terrain."
      }
    ],
    "source_ids": [
      "source-2026-10-27-008"
    ],
    "tags": [
      "robotics",
      "locomotion",
      "proprioception",
      "simulation"
    ],
    "image_url": "https://themachinepress.com/issues/2026-10-27/raiway-robotics.webp",
    "corrections": []
  },
  "sources": [
    {
      "source_id": "source-2026-10-27-008",
      "title": "arXiv preprint 2610.33172, original v1",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2610.33172v1",
      "canonical_url": "https://arxiv.org/abs/2610.33172v1",
      "source_type": "primary_research",
      "is_primary_source": true,
      "published_at": "2026-10-25T20:00:00.000-04:00",
      "accessed_at": "2026-10-27T08:18:12.114-04:00",
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  "publisher": {
    "name": "The Machine Press",
    "url": "https://themachinepress.com",
    "description": "A daily newspaper for the age of artificial intelligence."
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  "cite_this_report": {
    "title": "The Wheeled Biped Feels the Ground Without Contact Sensors",
    "publisher": "The Machine Press",
    "published_at": "2026-10-27T09:00:00.000-04:00",
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