RoboNet
by Berkeley AI Research (BAIR) · open-source · Last verified 2026-03-17
RoboNet is a large-scale dataset of 15 million video frames of robot-arm manipulation demonstrations collected from multiple robot platforms across different labs and environments. It is designed to benchmark and train self-supervised visual robot learning models that generalize across different robot morphologies and workspaces without task-specific supervision.
https://www.robonet.wiki ↗B
B—Above Average
Adoption: BQuality: AFreshness: BCitations: B+Engagement: F
Specifications
- License
- CC BY 4.0
- Pricing
- open-source
- Capabilities
- visual-robot-learning, self-supervised-learning, video-prediction
- Integrations
- Use Cases
- robot-policy-pretraining, video-prediction, multi-robot-generalization
- API Available
- No
- Tags
- robotics, video, manipulation, multi-robot, self-supervised
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
60.3Adoption
62
Quality
80
Freshness
65
Citations
78
Engagement
0
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