pi0.5
Physical Intelligence
A VLA model designed for open-world generalization by combining heterogeneous robot data, semantic subtask prediction, and high-level knowledge transfer.
Open-world generalization
A useful anchor for Catalog fields around task phase and heterogeneous data mixtures.
A model hub link is a declaration. Files, loadability, evaluation, and deployment are scored separately.
Model decision scorecard
Use-case scores and evidence confidence are separate; Unknown is not treated as failure.
Code, weights, and checkpoints
UnknownArtifact availability is unknown.
Loading and training reproducibility
UnknownNo verified loading configuration is available.
Training data requirements
UsefulRequired signal categories are declared; exact tensor and action interfaces still need verification.
Evaluation evidence
UsefulEvaluation focus is declared, but metrics are not independently verified.
Deployment readiness
UnknownHardware, latency, dependencies, and runtime loading are not yet verified.
Artifact facts and provenance
No metadata-verified artifact facts yet. Source links remain declarations only.
Loop signal demand
Signals this model family needs for training, evaluation, or failure mining.
Observation / ego video
observation
Language intent / task phase
language intent · task phase · High-level subtask labels · Language instructions
Action / robot state
actions · robot state
Future state / dynamics
Open-world generalization
Feedback / correction / failure
Cross-environment evaluation
Sim-real / embodiment metadata
robot state · Heterogeneous robot demonstrations · Cross-embodiment transfer
Evaluation focus
- Open-world generalization
- Long-horizon task completion
- Cross-embodiment transfer
Missing critical loop signals
Core signal demands are represented. Check quality, alignment, and access constraints.
Related catalog datasets
Open X-Embodiment
Cross-embodiment robot learning in a unified format
Exact action dimensions, control frequency, normalization, and camera mapping require interface verification.
DROID
In-the-wild real-world robot manipulation
Exact action dimensions, control frequency, normalization, and camera mapping require interface verification.
BridgeData V2
Language- and goal-conditioned manipulation
Exact action dimensions, control frequency, normalization, and camera mapping require interface verification.
OpenBot notes
- A useful anchor for Catalog fields around task phase and heterogeneous data mixtures.