DROID
Distributed Robot Interaction Dataset — large-scale in-the-wild manipulation data from UT Austin.
Overview
DROID is a large-scale manipulation dataset collected by 50 human operators across 564 real-world scenes. It emphasizes diversity of environments, objects, and tasks for robust imitation learning and policy transfer.
Scale & Content
- 76,000+ trajectories
- 350 hours of interaction
- 86 tasks (pick-place, assembly, tool use, etc.)
- 564 scenes, 50 collectors
- RGB-D, proprioception, actions
Official Links
- droid-dataset.github.io — Project site
- github.com/droid-dataset/droid — Code & data
- Hugging Face: lerobot/droid_100 — LeRobot format
Citation
See the project site for BibTeX and paper links (RSS 2024).