AI
World Models
Definition pending editorial review.
World Models in robotics: 6 companies, 11 papers and 24 stories on record, including General Intuition, Dexterity, AMD, 3 more.
Companies
6
Funding across them
$804M
Papers
10
Stories
10
Companies building on it
- $540M
- DexterityCore$140M
- AMDCore—
- NVIDIACore—
- World LabsCore—
- $124M
Papers advancing it
- Grounded-Dreamer: Robot Learning from World Model Synthetic Data with Physical Grounding
- Beyond Successful Robot Demonstrations: Learning from Human Interactions and Modeling Failure Dynamics
- Dream to Remember: Continual Steering of Generalist Robot Policies with World Models
- DeltaWorld: Physically Consistent Interactive World Simulators via Action-Conditioned Latent Increment Learning
- AVL-JEPA: Preventing Causal Dynamics Information Collapse In Joint Embedding Predictive Architecture World Models
- PhysicsLENS: Diagnosing Physical Property Blindness in Video Generation Models
- Supervise What Decides Success: Criterion-Aligned Auxiliary Losses for Latent World-Model Planning
- RoboCoach: World Models as Active Coaches for Compositional Robot Skills
- Beyond Policy Alignment: Closing the Planning-Learning Loop for Robot Control with Learned World Models
- Social-WM: Safety-Aware Latent World Models for Robot Social Navigation