{
  "schema_version": "1.0.0",
  "license": "CC-BY-4.0",
  "attribution": "CanIEmbody (https://caniembody.pages.dev)",
  "dataset_version": "1.0.0-seed",
  "generated": "2026-10-25",
  "data": {
    "robot": "so101",
    "policy": "smolvla",
    "state": "works",
    "framework": "lerobot",
    "framework_version_tested": "0.6.1",
    "capabilities": {
      "train": {
        "state": "works",
        "evidence": [
          "ev-smolvla-paper-so101"
        ]
      },
      "inference_real": {
        "state": "works",
        "evidence": [
          "ev-lerobot-smolvla-doc",
          "ev-smolvla-paper-so101"
        ]
      },
      "teleop_record": {
        "state": "works",
        "evidence": [
          "ev-smolvla-paper-datasets"
        ]
      }
    },
    "evidence": [
      {
        "id": "ev-lerobot-smolvla-doc",
        "tier": "upstream-documented",
        "type": "official-docs",
        "url": "https://github.com/huggingface/lerobot/blob/v0.6.1/docs/source/smolvla.mdx",
        "date": "2026-08-03",
        "verified_on": "2026-10-24",
        "versions": {
          "lerobot": "0.6.1"
        },
        "summary": "LeRobot v0.6.1 SmolVLA guide: fine-tune smolvla_base, then run the fine-tuned model on the real robot with lerobot-rollout --robot.type=so101_follower; its figure shows real-world SO101 results.",
        "quote": "lerobot-rollout \\\n  --strategy.type=base \\\n  --robot.type=so101_follower \\"
      },
      {
        "id": "ev-smolvla-paper-so101",
        "tier": "upstream-documented",
        "type": "paper",
        "url": "https://arxiv.org/html/2506.01844v1",
        "date": "2025-06-02",
        "verified_on": "2026-10-24",
        "summary": "SmolVLA paper, Table 4: real-world SO101 Pick-Place-Lego benchmark, ACT vs SmolVLA, in- and out-of-distribution.",
        "quote": "Similarly, on SO101 (see Table 4), SmolVLA surpasses ACT in both in-distribution and out-of-distribution (OOD) settings."
      },
      {
        "id": "ev-smolvla-paper-datasets",
        "tier": "upstream-documented",
        "type": "paper",
        "url": "https://arxiv.org/html/2506.01844v1",
        "date": "2025-06-02",
        "verified_on": "2026-10-24",
        "summary": "SmolVLA paper: real-world evaluation datasets were recorded on SO-100 (three tasks) and SO-101 (one task).",
        "quote": "For real-world evaluation, we collected three datasets using the SO-100 robot arm"
      }
    ],
    "tier": "upstream-documented",
    "verified_on": "2026-10-24",
    "age_days": 1,
    "stale": false,
    "version_drift": false,
    "url": "https://caniembody.pages.dev/compat/so101/smolvla"
  }
}