Datasets

Explore curated robotics datasets spanning real-world tasks and diverse scenarios, with robot context, collection scale, and coverage at a glance.

  • Astribot S1 with illustrated laundry, retail restocking, and laboratory handling objects.

    Astribot S1 Cross-Scenario Manipulation Dataset

    General-purpose robots need more than a larger action vocabulary. They must handle different environments, objects, and multi-step procedures. This dataset brings together 2032 real-robot recordings from Astribot S1 across 60 canonical scenarios and 130 tasks, ranging from clothing organization, kitchen operations, and household cleaning to shelf restocking, pharmacy handling, lab sample processing, and material sorting. With 41.07 hours and 4.90 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.

    Robot
    Astribot S1
    Data
    4,828 records · 104.49h
    Coverage
    60 scenarios · 133 tasks
  • Unitree G1 with illustrated clothing, retail shelf, and household organization objects.

    Unitree G1 Diverse Manipulation

    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.