{
 "schema_version": 1,
 "generated": "2026-10-31",
 "id": "huggingface-lerobot--evaluate-a-vla-policy-on-libero-with-lerobot",
 "repo": "huggingface/lerobot",
 "repo_url": "https://github.com/huggingface/lerobot",
 "repo_slug": "huggingface-lerobot",
 "title": "Benchmark a vision-language-action policy in simulation",
 "page_title": "How to benchmark a vision-language-action policy in simulation with Lerobot",
 "summary": "Evaluate a pretrained Pi0 policy on the LIBERO benchmark with lerobot-eval.",
 "who": "A researcher comparing VLA models before trying one on a real arm.",
 "problem": "Testing policies on real robots is slow and risky without a simulation baseline.",
 "outcome": "Success results over 10 LIBERO episodes for a published policy.",
 "steps": [
  "Install with `pip install lerobot`",
  "Run `lerobot-eval` with `--policy.path=lerobot/pi0_libero_finetuned`, `--env.type=libero`, `--env.task=libero_object` and `--eval.n_episodes=10`",
  "Swap in another policy path or benchmark such as MetaWorld to compare",
  "Use lerobot-rollout, per the Policy Deployment Documentation, once you want to run a trained policy on a real robot",
  "Publish your own environment through EnvHub if you build a new benchmark"
 ],
 "agent_prompt": "With huggingface/lerobot, run lerobot-eval on --policy.path=lerobot/pi0_libero_finetuned with --env.type=libero --env.task=libero_object --eval.n_episodes=10, then summarise the success rate.",
 "agents": [
  "claude-code",
  "codex",
  "cursor"
 ],
 "difficulty": "Intermediate",
 "time": "1 hour",
 "basis": "readme",
 "caveat": "Simulation success does not guarantee the same behaviour on a physical robot.",
 "category": "Software and DevOps",
 "tags": [
  "Software and DevOps"
 ],
 "lang": "python",
 "requirements": [
  "Python and pip",
  "Extras for your task: lerobot[dataset], lerobot[training], or lerobot[core_scripts,feetech] for an SO-101 arm",
  "A GPU for training most policies (see the Compute Hardware Guide)",
  "Optional: a supported robot such as SO101, Koch or LeKiwi, and a Hugging Face account to push datasets and models"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.9,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/huggingface-lerobot/evaluate-a-vla-policy-on-libero-with-lerobot/",
 "md": "https://dedupedai.com/use-cases/huggingface-lerobot/evaluate-a-vla-policy-on-libero-with-lerobot/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/huggingface-lerobot--evaluate-a-vla-policy-on-libero-with-lerobot.json",
 "api_version": "v1"
}