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Bridging the Sim-to-Real Gap for Accelerated Robot Training
NVIDIA· 2025-08-12 02:07
Core Technology & Solution - NVIDIA Cosmos is a world foundation model platform designed for developers to generate training data at an industrial scale [2] - Cosmos Predict generates realistic training data from an initial observation, creating diverse action variations using text prompts or action triggers [2] - Cosmos supports multi-view outputs, providing different perspectives from a single frame, which is especially useful for autonomous vehicles and multi-camera robots [3] - Cosmos Transfer applies appearance variations to 3D renders or real-world video, adjusting materials, lighting, weather, and environments to train models that generalize across domains while preserving physical accuracy [3] - Cosmos Reason, a vision language model, filters low-quality samples, annotates scenes, and supports policy training, enabling safe, efficient decision-making [4] - Cosmos World Foundation models are adaptable and can be post-trained to fit different sensors and perspectives [5] Industry Application & Impact - The fusion of AI and computer graphics, exemplified by Cosmos, enables robots and autonomous machines to safely operate in the real world [5] - The technology addresses the challenge of expensive and time-consuming real-world training data capture or manual synthetic data creation for robotics [1]
NVIDIA Research Special Address Live at SIGGRAPH 2025
NVIDIA· 2025-08-01 23:12
Event & Technology Focus - NVIDIA AI research leaders will discuss the next frontier in computer graphics and physical AI at SIGGRAPH 2025 [1] - The event will highlight physical AI and NVIDIA Omniverse [1]