GEN-1.5
Generalist AI
GEN-1.5 is Generalist AI's embodied foundation model for learning robot skills in context from short demonstrations, using video, sensor, language, and proprioceptive inputs to produce action trajectories.
- Code
- Unverified
- Weights
- Unverified
- Checkpoint
- Unverified
- License
- Unverified
Decision summary
Rapid robot skill acquisition from short demonstrations
Workflows that require publicly downloadable weights or code
Verify repository and artifact licenses.
Release history
Source-backed release timing for this canonical model record.
- Official release
Model release
Release timing is recorded from official model metadata.
Selection readiness
Evidence dimensions for deciding whether this model is ready to inspect, compare, or adopt. Scores describe catalog evidence, not task performance.
Published evaluation
How scores work76/100
Provisional
1/6 dimensions scored · 23% confidence
Engineering checks (OBRS) behind this record
Needs Audit
OBRS metadata and reported test evidence. A breakdown behind Selection readiness, not a separate score or an independent OpenBot certification.
- A passing real-hardware test report is required.
- A passing ingestion/pipeline test report is required.
- A passing privacy and provenance review is required.
Why these scores
The strongest decision reasons behind Selection readiness.
Artifact availability
UnknownCode and weights are not verified.
Training and loading reproducibility
UnknownNo verified loading configuration is available.
Evaluation evidence
UnknownNo structured evaluation evidence has been verified.
Data requirements
Declared loop-data needs, missing evidence, and the next checks that matter.
Observation / ego video
Video observations
Language intent / task phase
Language instructions
Action / robot state
Proprioception · Action trajectories
Sim-real / embodiment metadata
Descriptive model record
Critical gaps
Core categories are represented. Interface alignment and data quality still require verification.
Linked datasets
Signal-level links only. Verify runtime interfaces before use.
No related catalog datasets are linked to this model yet.
More evidenceShowHide
Additional decision dimensions
License or access terms are not verified.
— · c20Required signal categories are structured; exact tensor and action interfaces still need verification.
76 · c70Hardware, latency, dependencies, and checkpoint loading are not pipeline-tested.
— · c10Artifact facts
- catalog.curation
- openbot_inference
- tier: editorial_focus · collection: OpenBot important model releases · policy: human_curated_priority
- OpenBot editorial release selection
- model.type
- official_claim
- Embodied foundation model
- Official release title and model description
- model.reported_context_learning
- official_claim
- demonstration seconds: 3 to 12 · video memory seconds: 30 · action frequency hz: 100
- Official release summary and architecture description
- model.required_signals
- openbot_inference
- Video observations · Language instructions · Proprioception · Action trajectories
- OpenBot signal mapping from the official input and output description
- release_timing
- metadata_verified
- 2026-08-19T00:00:00.000Z
- Existing published Catalog release-date evidence
OpenBot notes
- The official release describes the demonstrated tasks as simple and short-horizon.
- Published performance claims are source-reported and are not OpenBot pipeline tests.
- The official release does not list a public code, weight, checkpoint, or license artifact.