Placement_Assets / docs /asset_readiness_classification.md
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Asset Readiness Classification

This document defines how to judge whether an asset is ready for robotics placement-task data generation.

Readiness must be evaluated against a target task, robot embodiment, simulator, policy, reset logic, success verifier, and data-recording pipeline. File format alone is not enough: an asset with URDF or MJCF files may still be missing collision, dynamics, semantic frames, or policy-compatible task definitions.

Levels

Level Meaning Typical required work before production
L0 Production-ready for the target task and policy. The asset loads, simulates stably, passes strict success verification, and can generate replayable episodes. Register provenance, add to the correct environment/task bucket, run batch physics, policy, verifier, and replay acceptance tests.
L1 Complete simulation asset in its original simulator, but not yet adapted to this repository's downstream task contract. Convert/adapt format, normalize scale and coordinates, map joints/sites/actuators/sensors to policy inputs and task semantics, then run L0 acceptance.
L2 Articulated structure exists, but physics or task information is incomplete. Validate joint origin/axis/range, collision, mass/inertia, damping/friction, handles/grasp frames, actuator/sensor definitions, task success/failure conditions.
L3 Movable parts are separated, but no reliable joint model exists. Build body/link tree, infer or author pivot/axis/range, create collision proxies and dynamics, then complete L2/L1 work.
L4 Complete static object, but movable parts are not separated. Segment movable parts, repair holes, rebuild local frames and pivots, then complete L3/L2/L1 work.
L5 Raw, incomplete, unassembled, or inconsistent static meshes. Audit source/license, repair geometry, deduplicate, recover scale/orientation, assemble parts, then progressively upgrade.

Rules

  • Assign the highest level the asset currently satisfies, not the level it could reach after future work.
  • Unknown information counts as not satisfied.
  • Technical readiness and license readiness are separate. An asset can be technically L1 but blocked from redistribution or production by license terms.
  • Every upgrade should preserve:
    • source asset ID
    • source URL
    • license and license snapshot if available
    • conversion tool/version
    • conversion parameters
    • generated file hashes
    • validation results

Current repository status

Source Stored asset group Current technical level Notes
RoboCasa assets/robocasa/raw/fixtures/dishwashers/ L1 candidate Complete MJCF dishwasher fixtures used by RoboCasa/robosuite. Still needs downstream task/policy-specific L0 validation.
DISCOVERSE assets/discoverse/raw/collections/models/discoverse_models/ L1/L2 candidate by subasset Preserved upstream models/ tree. Some files are complete task environments; individual MJCF/URDF assets should be promoted individually after task-specific validation.
TinyForge link-only placeholder not classified No physical asset imported yet.
Hunter link-only placeholder not classified No physical asset imported yet.
Third-party sites link-only candidates not classified Import only exact used assets after license/provenance review.