EgoStation GoPro Pick-and-Place Dataset
Pick-and-place benchmark fixtures
A non-gated CC-BY-NC-4.0 LeRobot-style dataset with GoPro first-person manipulation, hand-world coordinates, and 6DoF trajectory tags.
Pick-and-place benchmark fixtures
Open access but non-commercial license terms apply.
Inspect schema and run a bounded sample audit before committing to the full release.
Observation and action/state signals are declared; alignment quality still depends on sample verification.
fit 70 · confidence 55
World-model observation, geometry, or temporal semantics are not verified.
not scored · confidence 15
No verified failure/recovery annotation evidence is available yet.
not scored · confidence 15
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
hand pose · trajectory · actions · timeseries
Gaze / attention
No decision-grade evidence captured yet.
Language intent / task phase
Useful because it has a concrete manipulation task and LeRobot-style packaging.
Feedback / correction / failure
No decision-grade evidence captured yet.
Sim-real pairing
No decision-grade evidence captured yet.
License / format / access
Open · CC-BY-NC · LeRobot · Parquet
Catalog decision scorecard
The declared license restricts commercial use.
fit 35 · confidence 85
No machine-readable schema has been verified yet.
not scored · confidence 15
Observation and action/state signals are declared; alignment quality still depends on sample verification.
fit 70 · confidence 55
World-model observation, geometry, or temporal semantics are not verified.
not scored · confidence 15
No verified failure/recovery annotation evidence is available yet.
not scored · confidence 15
Scale is declared; transfer and processing estimates are not measured.
fit 65 · confidence 65
Good tasks
Blockers and unresolved evidence
- Gaze / attentionunknownNot enough evidence to classify this signal. Verify metadata or a bounded sample.
- Feedback / correction / failureunknownNot 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.
- Read the dataset manifest and feature schema.
- Run a bounded sample audit before assigning Strong readiness.
Raw dataset signals
OpenBot fit
- Pick-and-place benchmark fixtures
- 6DoF action schema testing
- OpenBot Data LeRobot ingestion demos
Related models and papers
Model references linked to similar loop signals.
OA-WAM
Object-addressable world-action model that decomposes scenes into robot and object slots while jointly predicting future world state and actions.
DreamZero / World Action Models
World-action model framing where future visual states and actions are predicted in an aligned policy model.
pi0 / OpenPI
Generalist robot policy family and open-source robotics model package from Physical Intelligence.
openvla
OpenVLA: An open-source vision-language-action model for robotic manipulation.
Octo
Open-source generalist robot policy pretrained on Open X-Embodiment trajectories and designed for fine-tuning to new robots and tasks.
SmolVLA
Compact open vision-language-action policy designed for practical robot fine-tuning and deployment through the LeRobot ecosystem.
Integration notes
- Open access but non-commercial license terms apply.
- Useful because it has a concrete manipulation task and LeRobot-style packaging.