NVIDIA Cosmos
NVIDIA
World foundation model platform for physical AI, built around predictive world modeling and data processing workflows.
Future-state prediction quality
Useful anchor for the world-model side of OpenBot's Catalog and Synth story.
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
UsefulAn official model hub is linked; weight files and loadability are not verified.
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 · depth · camera pose · Large-scale video and interaction data
Language intent / task phase
Needs task intent, instructions, keysteps, or phase labels to connect behavior to goals.
Action / robot state
Large-scale video and interaction data
Future state / dynamics
future state · Evaluation traces that connect prediction quality to downstream policy improvement · Future-state prediction quality
Feedback / correction / failure
Evaluation traces that connect prediction quality to downstream policy improvement
Sim-real / embodiment metadata
depth · camera pose · sim-real · Geometry, depth, calibration, or simulation context
Evaluation focus
- Future-state prediction quality
- Physical consistency
- Whether generated or predicted scenarios improve downstream policies
Missing critical loop signals
Core signal demands are represented. Check quality, alignment, and access constraints.
Related catalog datasets
Ego-1K
Multiview egocentric scene reconstruction
Exact action dimensions, control frequency, normalization, and camera mapping require interface verification.
Xperience-10M
Multimodal human experience for embodied AI
Exact action dimensions, control frequency, normalization, and camera mapping require interface verification.
Ego-Exo4D
Synchronized first-person and third-person skilled activity
Exact action dimensions, control frequency, normalization, and camera mapping require interface verification.
OpenBot notes
- Useful anchor for the world-model side of OpenBot's Catalog and Synth story.
- Dataset pages should expose geometry and sim-real signals, not only labels.