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英伟达加码机器人 上新Omniverse库和Cosmos模型
2 1 Shi Ji Jing Ji Bao Dao·2025-08-14 11:02

Group 1 - The global robotics industry is accelerating towards intelligence and scale, with capital and tech giants increasing investments [1] - NVIDIA is positioning itself as a core player in AI computing platforms, aiming to leverage "physical AI" for new growth opportunities [1][2] - The newly launched NVIDIA Omniverse library and Cosmos model are designed to enhance the development and deployment of robotic solutions [1][2] Group 2 - The Omniverse SDK and tools facilitate the creation and deployment of industrial AI and robotic simulation applications, helping developers validate algorithms and hardware designs in virtual environments [1][3] - The Cosmos model allows developers to generate large-scale training data for robots using text, images, and video prompts, with the upcoming Cosmos Transfer-2 capable of quickly generating realistic synthetic data [1][2] Group 3 - Cosmos Reason is a new open-source, customizable 7 billion parameter visual language model that enables robots to reason and understand the physical world like humans [2][3] - NVIDIA's integration of AI reasoning with precise physical simulation is expected to significantly impact various industries, potentially creating trillions of dollars in value [2] Group 4 - NVIDIA has deployed three major computing platforms for robotics and physical AI: embedded computers in robots, AI factory computers for data processing and model training, and simulation computers for testing robots [3][4] - The recent updates to models and toolkits aim to address the challenges of data and simulation in robotics [4] Group 5 - Rev Lebaredian highlighted the importance of generating synthetic data through simulation to overcome the data scarcity challenges faced by physical AI [4] - China is recognized for its strong capabilities in manufacturing efficient and practical robots, supported by expertise in mechatronics and a large manufacturing base [5] Group 6 - Domestic robotics companies are collaborating with NVIDIA to develop products, indicating a growing partnership in the industry [5] - The robotics industry is still in its early stages, facing challenges such as the lack of unified technical standards and the need for effective commercialization strategies [5]