DreamZero / World Action Models
Research
World-action model framing where future visual states and actions are predicted in an aligned policy model.
Zero-shot policy behavior
This is the strongest reason to keep Catalog focused on loop traces instead of flat dataset metadata.
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 · Observation, intent, action, and future-state supervision · Robot demonstrations with paired video/action sequences
Language intent / task phase
language intent · Observation, intent, action, and future-state supervision
Action / robot state
actions · Observation, intent, action, and future-state supervision · Robot demonstrations with paired video/action sequences · Action-conditioned future prediction
Future state / dynamics
future state · Observation, intent, action, and future-state supervision · Failure and correction signals for validating imagined futures · Action-conditioned future prediction
Feedback / correction / failure
feedback/failure · Failure and correction signals for validating imagined futures · Failure recovery under scene shifts
Sim-real / embodiment metadata
Robot demonstrations with paired video/action sequences
Evaluation focus
- Zero-shot policy behavior
- Action-conditioned future prediction
- Failure recovery under scene shifts
Missing critical loop signals
Core signal demands are represented. Check quality, alignment, and access constraints.
Related catalog datasets
EgoWorld
Bimanual manipulation in LeRobot format
Dataset license restricts commercial use.
EgoStation GoPro Pick-and-Place
GoPro first-person pick-and-place trajectories
Dataset license restricts commercial use.
MicroAGI01
Household manipulation with pose annotations
Exact action dimensions, control frequency, normalization, and camera mapping require interface verification.
OpenBot notes
- This is the strongest reason to keep Catalog focused on loop traces instead of flat dataset metadata.
- WAM readiness depends on whether a dataset aligns video dynamics with executable actions.