Galaxea Open-World Dataset
Long-horizon mobile dual-arm manipulation
Open-world behavior data captured in residential, catering, retail, and office environments with precise subtask language labels.
Mobile manipulation
Strong source for connecting subtask annotation to mobile manipulation evaluation.
Inspect schema and run a bounded sample audit before committing to the full release.
Has observation, action/state proxy, and task or language context.
fit 85 · confidence 55
Has rich observation and semantic context, but limited geometry/sim-real alignment.
fit 68 · confidence 55
Contains observation, intent, action/state, and feedback-like supervision.
fit 88 · confidence 55
Verified facts and provenance
Claims, metadata verification, and sample verification are shown separately.
Unknown — no machine-readable schema facts have been captured.
Unknown — metadata conclusions do not prove sample coverage, alignment, or file integrity.
Declared loop signal coverage
Signals inferred from official metadata; Data pipeline verification is still pending.
Observation / ego video
video
Action / hand pose / robot state
actions · robot state · Mobile manipulation · Strong source for connecting subtask annotation to mobile manipulation evaluation.
Gaze / attention
No decision-grade evidence captured yet.
Language intent / task phase
language · task phase · Subtask evaluation · Strong source for connecting subtask annotation to mobile manipulation evaluation.
Feedback / correction / failure
Subtask evaluation · Strong source for connecting subtask annotation to mobile manipulation evaluation.
Sim-real pairing
No decision-grade evidence captured yet.
License / format / access
Open · CC BY-NC-SA 4.0 · RLDS · LeRobot-derived
Model and task fit · OpenBot inference
Has observation, action/state proxy, and task or language context.
fit 85 · confidence 55
Has rich observation and semantic context, but limited geometry/sim-real alignment.
fit 68 · confidence 55
Contains observation, intent, action/state, and feedback-like supervision.
fit 88 · confidence 55
Has failure/evaluation-style labels with action or manipulation context.
fit 82 · confidence 55
Good tasks
Blockers and unresolved evidence
- Gaze / attentionunknownNot enough evidence to classify this signal. Verify metadata or a bounded sample.
- Sim-real pairingunknownNot enough evidence to classify this signal. Verify metadata or a bounded sample.
Raw dataset signals
OpenBot fit
- Mobile manipulation
- Long-horizon VLA training
- Subtask evaluation
Related models and papers
Model references linked to similar loop signals.
LingBot-VLA 2.0
A whole-body VLA release focused on broader cross-embodiment transfer, mobile manipulation, and predictive dynamics supervision.
Helix 02
A hierarchical whole-body VLA for continuous humanoid locomotion, manipulation, balance, tactile feedback, and long-horizon autonomy.
GR00T 1.7
NVIDIA's current open humanoid VLA release within an end-to-end Isaac workflow for teleoperation, training, evaluation, and deployment.
Galaxea G0
A dual-system VLM plus VLA model for planning and fine-grained control on long-horizon mobile-manipulation tasks.
Integration notes
- Strong source for connecting subtask annotation to mobile manipulation evaluation.