AgiBot World 2026
AgiBot World 2026 is the latest release of the AgiBot World embodied-AI dataset, succeeding the earlier Alpha/Beta releases. It is collected in real-world commercial, home, and general-purpose environments using the…
Source notes
AgiBot World 2026 is the latest release of the AgiBot World embodied-AI dataset, succeeding the earlier Alpha/Beta releases. It is collected in real-world commercial, home, and general-purpose environments using the AGIBOT G2 wheeled humanoid with dual 7-DOF force-controlled arms, capturing synchronized RGB(D), LiDAR point clouds, tactile, IMU, and full-body joint states. Released in sequential phases, it provides long-horizon manipulation, navigation, dual-arm coordination, and human-robot collaboration data in LeRobot format (~9.4 TB).
- Scale
- 2976.4 hours
- Formats
- lerobot
- License
- custom
- Published
- 2026-03-01
Decision summary
teleoperation
Metadata requires review against the official source before publication.
Read the dataset manifest and feature schema.
Selection readiness
6 evidence dimensions for deciding whether this dataset is ready to inspect, compare, or adopt. This is not a model benchmark.
Catalog evidence · not task performance
77/100
Provisional
4/6 dimensions scored · 48% confidence
Read the evidence behind all 6 dimensions
Access and governance
Access and license are declared by the source.
Schema and signal coverage
No machine-readable schema has been verified yet.
Policy training readiness
Observation and action/state signals are declared; alignment quality still depends on sample verification.
World-model readiness
Temporal observations plus geometry or semantic context are declared; sample alignment remains to be audited.
Failure and recovery readiness
No verified failure/recovery annotation evidence is available yet.
Download and processing readiness
Scale is declared; transfer and processing estimates are not measured.
Review unresolved evidence and next checks
Signal gaps
- Gaze / attention. Not enough evidence is available to classify this signal.
- Feedback / correction / failure. Not enough evidence is available to classify this signal.
Next checks
- Read the dataset manifest and feature schema.
- Run a bounded sample audit before assigning Strong readiness.
Dataset facts
- Source
- AgiBot (Zhiyuan Robotics)
- Evidence
- secondary claim
- Formats
- lerobot
- hours
- 2976.4
- bytes
- 10292916584908
- Source-reported scale
- 20.7K
Loop signals
5/7 present or partial
No decision-grade evidence captured yet.
unknownNo decision-grade evidence captured yet.
unknownView 5 more signal categories
depth · video · AgiBot World 2026 is the latest release of the AgiBot World embodied-AI dataset, succeeding the earlier Alpha/Beta releases. It is collected in real-world commercial, home, and general-purpose environments using the AGIBOT G2 wheeled humanoid with dual 7-DOF force-controlled arms, capturing synchronized RGB(D), LiDAR point clouds, tactile, IMU, and full-body joint states. Released in sequential phases, it provides long-horizon manipulation, navigation, dual-arm coordination, and human-robot collaboration data in LeRobot format (~9.4 TB).
presentee_pose · AgiBot World 2026 is the latest release of the AgiBot World embodied-AI dataset, succeeding the earlier Alpha/Beta releases. It is collected in real-world commercial, home, and general-purpose environments using the AGIBOT G2 wheeled humanoid with dual 7-DOF force-controlled arms, capturing synchronized RGB(D), LiDAR point clouds, tactile, IMU, and full-body joint states. Released in sequential phases, it provides long-horizon manipulation, navigation, dual-arm coordination, and human-robot collaboration data in LeRobot format (~9.4 TB).
partiallanguage
presentdepth
presentOpen · custom · lerobot
presentEvidence details and provenance
Official signal claims
Schema and annotations
No machine-readable schema facts are captured.
Sample verification
Pending. Metadata does not prove sample coverage, alignment, or file integrity.
curated official source
Integration notes
- Metadata requires review against the official source before publication.