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DVIDIA task environments v02 41f1a82e0e98863ced5ca0bbc95380eadc3d2301d12e93afa1eaa9b3e1fd1d8c dataset 0
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metadata
license: mit
language:
  - en
tags:
  - robotics
  - simulation
  - openusd
  - mujoco
  - agilex-piper
  - dvidia
pretty_name: DVIDIA task environments v0.2
size_categories:
  - n<1K

DVIDIA task environments v0.2

Reusable local environment recipes for a pinned native PiPER arm, a five-collider open bin, and up to four original rigid object instances. A rigid shoe surrogate is compound box geometry; it is not a measured or deformable shoe. All dynamics parameters are authored assumptions.

The frozen passive benchmark retains 6 positive native scenes, 6 negative completion fixtures, and 4 invalid-layout prechecks. All 12 native outcomes matched their declarations; all 4 invalid layouts were rejected. A separate read-only audit reconstructed 13,262 recorded 1 ms state/goal samples and 1,337 saved replay frames with zero consistency mismatches. These counts measure scene and verifier checks, not a learned robot manipulation success rate.

Open the environment studio and recorded benchmark · Source and Terminal tools

Download task-environments-v02.zip, extract it, and serve the directory with python -m http.server 8000. The browser can edit a draft and replay saved native motion. Running new physics requires the local Python runtime and verified PiPER assets; a static hosted page does not itself run the native simulator. See guide.md for installation, local UI/Terminal commands, and supported inputs.

PiPER holds its native home controls. No grasp policy is trained, no video-to-skill learning or physical-robot transfer is demonstrated, and the consistency audit does not establish real-world physics or sensor accuracy. Negative controls explicitly disable gravity in two stationary verifier fixtures and set initial velocity with zero friction in one moving fixture; all interventions and attempts are retained. Geometry is stored once by content hash.

Original DVIDIA code and geometry: MIT; pinned PiPER simulation assets: MIT with notices in the archive. Other dependencies retain their own licenses. DVIDIA research · @iammrriver · hello@dvidia.org.