{
  "$schema": "https://themachinepress.com/schemas/story-v1.schema.json",
  "schema_version": "1.0.0",
  "document_type": "machine_press_story",
  "story": {
    "story_id": "mp-2026-10-08-005",
    "source_story_id": "tmp-story-roboprompt-sparse-steering",
    "edition_id": "mp-2026-10-08-morning-0090",
    "edition_url": "https://themachinepress.com/edition/2026-10-08",
    "position": 5,
    "story_type": "dispatch",
    "section": "robotics",
    "editorial_classification": "editorial",
    "headline": "A Drawn Line Steered Three Robot Policies",
    "slug": "a-drawn-line-steered-three-robot-policies",
    "dek": "Sparse traces, target points and directions altered actions in noise space without changing the base policy architecture.",
    "summary": "Sparse traces, target points and directions altered actions in noise space without changing the base policy architecture.",
    "body_text": "RoboPrompt translates intuitive human guidance into an action draft, then lets the base diffusion or flow-matching policy refine that draft through its normal generation dynamics. The reusable steering module worked across Diffusion Policy, pi-0.5 and FastWAM without policy-specific architectural changes or steerability fine-tuning. The researchers then used corrected rollouts for DAgger-style improvement. After two or three rounds, average success increased 15.5% for pi-0.5 across three tasks and 21.3% across three policies on an Insert Bread task, while intervention counts fell by 44.0% and 81.9% in the respective comparisons. The tested settings are limited, but the interface makes occasional human intent a lightweight input rather than a full teleoperation session.",
    "why_it_matters": "Sparse traces, target points and directions altered actions in noise space without changing the base policy architecture.",
    "limitations": [],
    "importance": 8,
    "canonical_url": "https://themachinepress.com/story/mp-2026-10-08-005/a-drawn-line-steered-three-robot-policies",
    "json_url": "https://themachinepress.com/story/mp-2026-10-08-005.json",
    "first_published_at": "2026-10-08T09:00:00.000-04:00",
    "modified_at": "2026-10-08T09:00:00.000-04:00",
    "content_status": "new",
    "is_carryover": false,
    "carryover_reason": null,
    "key_claims": [
      {
        "claim_id": "claim-mp-2026-10-08-005-001",
        "text": "Sparse traces, target points and directions altered actions in noise space without changing the base policy architecture.",
        "source_ids": [
          "source-2026-10-08-005"
        ],
        "qualification": null
      }
    ],
    "source_ids": [
      "source-2026-10-08-005"
    ],
    "tags": [
      "shared autonomy",
      "robot policy",
      "human guidance"
    ],
    "image_url": null,
    "corrections": []
  },
  "sources": [
    {
      "source_id": "source-2026-10-08-005",
      "title": "arXiv preprint 2610.10534",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2610.10534",
      "canonical_url": "https://arxiv.org/abs/2610.10534",
      "source_type": "primary_research",
      "is_primary_source": true,
      "published_at": "2026-10-07T13:58:53.000-04:00",
      "accessed_at": "2026-10-08T08:26:48.909-04:00",
      "supports_claim_ids": [
        "claim-mp-2026-10-08-005-001"
      ]
    }
  ],
  "corrections": [],
  "publisher": {
    "name": "The Machine Press",
    "url": "https://themachinepress.com",
    "description": "A daily newspaper for the age of artificial intelligence."
  },
  "cite_this_report": {
    "title": "A Drawn Line Steered Three Robot Policies",
    "publisher": "The Machine Press",
    "published_at": "2026-10-08T09:00:00.000-04:00",
    "canonical_url": "https://themachinepress.com/story/mp-2026-10-08-005/a-drawn-line-steered-three-robot-policies"
  }
}
