BioFaudry laboratory digital twin assets
Private asset delivery for MagicSim. Includes all 796 asset types, 941 authored joints, and the complete laboratory: 1,110 placed objects plus the room shell (759 asset types in the scene). Source authoring examples and the skeleton/navigation scene variants are also included; the 796-asset acceptance count refers to the production models.
| Content | Location |
|---|---|
| Native USD, textures, mass/collision/joint annotations, device profiles | Assets/DigitalTwin/BioFaudry/<group>/<asset_id>/ |
| Complete USD laboratory | Assets/DigitalTwin/BioFaudry/Scene/lab_scene.usda |
| 796 native Blender models | outputs/digital_twin/blender/assets/ |
| Complete Blender laboratory, packed model libraries and textures | outputs/digital_twin/blender/biofaudry_lab.blend |
| 796 browser-compatible GLB models | outputs/digital_twin/glb/models/ |
| 1,592 asset preview images | outputs/digital_twin/gallery/img/ |
| Asset acceptance receipts | acceptance/<asset_id>/ |
| Whole-scene, device and matter acceptance | outputs/digital_twin/ JSON reports and renders |
| Single-download asset bundle | BioFaudry_Assets.zip |
| SHA-256 for each repository payload file | manifest.json |
USD is authoritative for physical mass, collisions and joints. Open the native
scene in Isaac Sim 5.1, or the packed .blend in Blender 4.2 or later.
GLB files provide visual geometry; use USD and annotations for simulation.
Download
Log in to the Hugging Face account that has access to this private dataset:
python -m pip install huggingface_hub
hf auth login
from huggingface_hub import snapshot_download
snapshot_download(
repo_id="luhr/biofaudry-digital-twin",
repo_type="dataset",
local_dir="biofaudry-assets",
ignore_patterns=["BioFaudry_Assets.zip", "BioFaudry_Assets.zip.sha256"],
)
To run MagicSim, check out its main branch, then copy the downloaded Assets/
and outputs/ directories into that checkout, preserving the directory layout.
The runtime configuration is src/magicsim/Env/Conf/biofaudry_lab_env.yaml.
Source code is distributed through GitHub. This HF repository contains the asset
delivery and its evidence; the website project is stored separately.
Validation and scope
The original native delivery passed content-bound acceptance for all 796 assets.
Its whole-scene simulation, device behavior, matter tests and rendered evidence
are included in outputs/digital_twin/delivery_report.json and supporting reports.
Repository payloads preserve the validated USD/Blender bytes. Acceptance receipt
paths are relative so that they work after downloading to another machine.
Dimensions and placements include photo/video estimates with recorded confidence. Cloth, thin film and packaging use rigid approximations. Joint sweeps use a holding fixture and a separate unrestrained settle check. These files do not claim measured calibration of every real laboratory instrument.
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