{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "mirros-lab-code-as-world--run-ballistic-soccer-physics-simulation",
 "repo": "MirroS-Lab/Code-as-World",
 "repo_url": "https://github.com/MirroS-Lab/Code-as-World",
 "repo_slug": "mirros-lab-code-as-world",
 "title": "Run the bundled ballistic soccer MuJoCo simulation",
 "page_title": "How to run the bundled ballistic soccer MuJoCo simulation with Code as World",
 "summary": "Render a soccer-kick trajectory from the video-driven abstraction example in a few commands.",
 "who": "A student or robotics or physics hobbyist who wants to see how Code as World turns a physical scene into an executable simulation.",
 "problem": "It is hard to tell what an executable world representation looks like until you run one on a concrete physical case.",
 "outcome": "A rendered video and trajectory file written to outputs/simulations/, or only the trajectory if you skip rendering.",
 "steps": [
  "Clone the repo with `git clone https://github.com/MirroS-Lab/Code-as-World.git` and run `cd Code-as-World`.",
  "Create an environment with `python -m venv .venv`, activate it with `source .venv/bin/activate`, and install the simulation requirements with `pip install -r requirements/simulation.txt`.",
  "Run the bundled case with `python -m code_as_world.simulation`.",
  "For a trajectory without rendering, run `python -m code_as_world.simulation --no-render`."
 ],
 "agent_prompt": "In the Code-as-World repo at <repo_path>, install requirements/simulation.txt and run `python -m code_as_world.simulation` to execute the bundled ballistic soccer case. Expect a rendered video and trajectory in outputs/simulations/; verify both files exist and that the trajectory file is non-empty.",
 "agents": [
  "any"
 ],
 "difficulty": "Intermediate",
 "time": "30 minutes",
 "basis": "readme",
 "caveat": "The README only documents this one bundled soccer case, so it does not show how to build new executable world representations for other scenes.",
 "category": "Research",
 "tags": [
  "Research"
 ],
 "lang": "python",
 "requirements": [
  "Python 3.10 or 3.11",
  "A CUDA host for the checkpoints",
  "git and the hf CLI to clone repos and download weights",
  "Disk space and network access for the 4B and 9B weights and the QuantiPhy validation videos"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.8,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/mirros-lab-code-as-world/run-ballistic-soccer-physics-simulation/",
 "md": "https://dedupedai.com/use-cases/mirros-lab-code-as-world/run-ballistic-soccer-physics-simulation/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/mirros-lab-code-as-world--run-ballistic-soccer-physics-simulation.json",
 "api_version": "v1"
}