pretty_name: Placement Assets
license: other
task_categories:
- robotics
tags:
- robotics
- mujoco
- mjcf
- assets
- placement
Asset Library
Unified robotics and simulation asset library.
This repository stores normalized reusable assets from RoboCasa, Discoverse, TinyForge, Hunter, and third-party asset sites. It is designed to be hosted as a Hugging Face Dataset.
Layout
Raw source-preserved asset layout:
assets/<source>/raw/<asset_type>/<category>/<asset_id>/
Example:
assets/robocasa/raw/fixtures/dishwashers/Dishwasher031/
Derived asset layout:
assets/<source>/derived/<asset_type>/<category>/<asset_id>/
Use derived/ for generated or transformed outputs such as convex decomposition, collision meshes, cleaned meshes, and conversions.
For convex decomposition scaffolding:
python scripts/scaffold_convex_decomposition.py assets/robocasa/raw/fixtures/dishwashers/Dishwasher031
Collection-level imports are allowed when an upstream repository has many internal relative references. They still use the same layout under raw/:
assets/<source>/raw/<asset_type>/<category>/<asset_id>/
Current example:
assets/discoverse/raw/collections/models/discoverse_models/
Top-level repository structure:
.
├── AGENTS.md
├── README.md
├── assets/
│ ├── discoverse/
│ ├── hunter/
│ ├── robocasa/
│ ├── third_party/
│ └── tinyforge/
├── templates/
├── docs/
│ ├── asset_readiness_classification.md
│ ├── convex_decomposition_spec.md
│ ├── external_source_catalog.md
│ ├── naming_spec.md
│ ├── placement_asset_notes.md
│ ├── primitive_collision_proxy_spec.md
│ ├── structure_mapping.md
│ ├── source_notes/
│ └── storage_spec.md
├── manifest/
│ ├── assets.jsonl
│ ├── licenses.yaml
│ └── sources.yaml
└── scripts/
├── run_convex_decomposition.py
├── run_primitive_collision_proxy.py
├── scaffold_convex_decomposition.py
├── download_from_hf.sh
├── upload_to_hf.sh
└── validate_asset.py
Naming rule:
<source>.<asset_type>.<category>.<upstream_id>
Example:
robocasa.fixtures.dishwashers.Dishwasher031
Current seed assets
- RoboCasa dishwasher fixtures: 25 MJCF assets under
assets/robocasa/raw/fixtures/dishwashers/ - RoboCasa dishwasher support files:
- fixture registry:
assets/robocasa/raw/fixtures/fixture_registry/dishwasher.yaml - implementation reference:
docs/source_notes/robocasa/dishwasher_fixture.py
- fixture registry:
- DISCOVERSE models collection: upstream
models/tree underassets/discoverse/raw/collections/models/discoverse_models/- stored as a collection-level asset to preserve internal relative references
- includes MJCF, URDF, mesh, and reference image files
Placement-related notes and candidate external links are tracked in:
docs/asset_readiness_classification.md
docs/convex_decomposition_spec.md
docs/external_source_catalog.md
docs/placement_asset_notes.md
docs/primitive_collision_proxy_spec.md
docs/structure_mapping.md
docs/source_notes/third_party.md
Readiness is tracked separately from storage. A downloaded asset is not automatically production-ready:
- L0: validated for the target task, robot, policy, verifier, and replay pipeline
- L1: complete simulation asset in its original simulator
- L2: articulated structure exists but physics/task information is incomplete
- L3: movable parts are separated but joints are not reliable
- L4: complete static object
- L5: raw or incomplete static mesh
See docs/asset_readiness_classification.md for the full standard.
Index
The global asset index is:
manifest/assets.jsonl
Each asset directory also contains a local metadata.yaml.
Validate
python scripts/validate_asset.py assets/robocasa/raw/fixtures/dishwashers/Dishwasher031
python scripts/validate_asset.py --all
Current expected result:
validated_assets=26
Upload to Hugging Face
Login first:
export HF_ENDPOINT=https://hf-mirror.com
hf auth login
Create the dataset repo if needed:
hf repo create <namespace>/<dataset_repo> --type dataset --private
Upload:
cd /path/to/asset-library
scripts/upload_to_hf.sh <namespace>/<dataset_repo>
Download from Hugging Face
export HF_ENDPOINT=https://hf-mirror.com
scripts/download_from_hf.sh <namespace>/<dataset_repo> ./asset-library