AGIBOT releases Physical Reasoning dataset to teach robots decisions
AGIBOT on October 22 announced Physical Reasoning, Release 4 of its AGIBOT WORLD 2026 dataset. The release links task goals, changing scene conditions, execution history and real robot actions, and includes both successful and erroneous examples.
- Release covers nine abilities, from object selection to long-horizon planning and memory
- Tasks are split into Easy, Medium and Hard levels by decision complexity
- Dense Prompt annotations specify target object, manipulation region, arm roles and gripper state
- Data was collected on the G2 platform under a CC BY-NC-SA 4.0 license
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