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NVIDIA Cosmos
World-model resources for physical AI and synthetic-data workflows.
World modelsTHE EMBODIED AI DIRECTORY
Explore predictive and generative world-model resources for physical AI and robot planning.
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World-model resources for physical AI and synthetic-data workflows.
World models
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Repository for our papers: Robotic World Model: A Neural Network Simulator for Robust Policy Optimization in Robotics and Uncertainty-Aware Robotic World Model Makes Offline Model-Based…
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DayDreamer provides world-model methods for physical robot learning.
World models
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DreamDojo studies robot world models learned from human video data.
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Official Implementation for the paper "SR-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models"
World models
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A unified framework for training, fine-tuning, and evaluating World Action Models
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ICCV 2025 | TesserAct: Learning 4D Embodied World Models
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Code for RISE: Self-Improving Robot Policy with Compositional World Model
World models
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A world-model-enhanced VLA for steerable dexterous manipulation, along with optimized training infra.
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Lightweight implementation of Robotic World Model (RWM) and Uncertainty-Aware Robotic World Model (RWM-U)
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ACOT-VLA-WM is an advanced Vision-Language-Action robotics framework that uses a predictive world model to generate visual subgoals, improving long-horizon robotic manipulation accuracy and…
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C³-JEPA studies a multi-view world model for underwater ROV salvage.
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Official code and data from DexWM ("World Models Can Leverage Human Videos for Dexterous Manipulation").
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DreamX-Phi provides an action-conditioned video world model for robotic manipulation.
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Ego-World JEPA studies ego/world latent factorization for planning on PushT.
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Official Implementation of "EVA: Aligning Video World Models with Executable Robot Actions via Inverse Dynamics Rewards"
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EVEWorld studies physical-evolution supervision and temporal consistency in embodied world models.
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Towards Scalable Gaussian World Models for Robotic Manipulation
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GenRL: Multimodal-foundation world models enable grounding language and video prompts into embodied domains, by turning them into sequences of latent world model states. Latent state sequences can…
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A Roadmap to Build World Models for Robot Policy Evaluation
World modelsSELECTION NOTES
Distinguish generated visual futures from validated physical dynamics. Review conditioning inputs, rollout horizon and evaluation protocols before treating predictions as executable plans.
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