Datasets

General-purpose robots need more than a larger action vocabulary. They must handle different environments, objects, and multi-step procedures. This dataset brings together 4828 real-robot recordings from Astribot S1 across 60 scenarios and 133 tasks, ranging from clothing organization, kitchen operations, and household cleaning to shelf restocking, pharmacy handling, lab sample processing, and material sorting. With 104.49 hours and 11.3 TB of complete MCAP data, it supports multi-task training, cross-scenario evaluation, and validation of industry-specific data programs. If you want to see whether the collection matches your robot and target tasks, contact us to review samples and discuss the next step.

Built around diverse Unitree G1 manipulation, this dataset spans 26 tasks across 23 home and retail scenarios, including cleaning, tidying, clothing handling, item organization, refrigerator zoning, basket-based shopping, and shelf restocking. Its 6 capture configurations cover Dex1 and BrainCo end effectors together with monocular and stereo 720p vision setups. The collection is intended to broaden the scenes, objects, and procedures available for multi-task training and to support evaluation of transfer across layouts and task sequences.