AXIS: A Growable Community-Driven Data Engine for Scalable Robot Manipulation
- Published
- Source
- arXiv
- Paper number
- 704
- Field
- Robotics
- arXiv ID
- 2607.21588
Key points
- Browser-based MuJoCo-WASM teleoperation lets the system collect demonstration data without specialized equipment.
- It builds a scalable community dataset with 207 tasks and more than 50K trajectories.
- It integrates automatic success verification, quality filtering, trajectory smoothing, and IsaacSim augmentation into one pipeline.
- Fine-tuning a pi0.5 model on AXIS data improves success rate by 5.8 percent and beats RoboCasa365 by 37.3 percent.
- Performance improves consistently as the amount of data grows.
Paper links
External research summaries. These are not HDATF publications or measured product results.