Cosmos World Foundation Model Platform for Physical AI

2025-01-07

AI Summary

Physical AI faces challenges in addressing complex societal problems due to the lack of high-fidelity, customizable world models. Method: This paper proposes the *tunable World Foundation Model (WFM)* paradigm—a unified framework for embodied intelligence that integrates video data curation, WFM pretraining, task-adaptive fine-tuning, and an efficient video tokenizer. It is the first open-source, end-to-end framework enabling seamless transition from general world modeling to task-specific digital twins. Contribution/Results: We release an open-source platform and publicly available model weights, substantially lowering the barrier to physical AI world modeling. Extensive evaluation across diverse robot sim-to-real transfer tasks demonstrates the framework’s effectiveness in rapidly constructing high-fidelity, lightweight, and task-adapted digital twin environments.

Technology Category

• Intelligent Robots: Embodied AI
• Computer Vision: Low Level & Physics-based Vision
• Humans and AI: Human-Aware Planning and Behavior Prediction

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Applied ML and AI for Web-based mobile applications
• Graph Algorithms and Modeling for the Web: Foundation models and LLMs for Web-related graphs
• User Modeling, Personalization and Recommendation: User modeling and simulation for interactive and conversational systems

Abstract

Physical AI needs to be trained digitally first. It needs a digital twin of itself, the policy model, and a digital twin of the world, the world model. In this paper, we present the Cosmos World Foundation Model Platform to help developers build customized world models for their Physical AI setups. We position a world foundation model as a general-purpose world model that can be fine-tuned into customized world models for downstream applications. Our platform covers a video curation pipeline, pre-trained world foundation models, examples of post-training of pre-trained world foundation models, and video tokenizers. To help Physical AI builders solve the most critical problems of our society, we make our platform open-source and our models open-weight with permissive licenses available via https://github.com/NVIDIA/Cosmos.

Problem

• Flexible World Model
• Physical AI
• Societal Issues

Innovation

• Cosmos Platform
• Physical AI
• World Modeling