Awomo-SimDataEngine: Agentic Simulation-ReadyWorld Generation

What happened

arXiv:2610.02274v1 Announce Type: new Abstract: Generating useful robot-training data (the material a model is built from) requires more than visually plausiblescenes: objects must support interaction, placements must remain physicallyvalid, and tasks must admit repeatable execution. Shared asset services providerigid and articulated objects, including structure-grounded part and jointgeneration with ISArt.

Scene generation provides support for two complementary routes:Unravel reconstructs editable scenes from images, while SimForge buildssingle-room and multi-room environments from text. A graph-native harnesscoordinates construction, validation, andbounded repair, routing failures to the responsible module while retainingunaffected scene state.

PolicyForge binds validated worlds to tasks and robotembodiments to produce replayable demonstrations. Evaluations cover assetgeometry, scene quality, and downstream policy learning.

Key facts

• arXiv:2610.02274v1 Announce Type: new Abstract: Generating useful robot-training data — requires: more than visually plausiblescenes: objects must support interaction, placements must remain physicallyvalid, and tasks must admit repeatable execution
• Scene generation — support: two complementary routes:Unravel reconstructs editable scenes from images, while SimForge buildssingle-room and multi-room environments from text