当地时间1月5日，2026国际消费电子展（CES）拉斯维加斯展会现场，英伟达创始人兼CEO黄仁勋发表 主题演讲，抛出重磅行业判断：物理人工智能（Physical AI）的"ChatGPT时刻"已经到来。AI技术将正 式从虚拟屏幕走向物理世界，机器人产业迎来规模化变革的关键节点。 开源生态的协同扩张成为本次发布的核心亮点。英伟达与Hugging Face达成深度合作，将GR00T系列模 型及Isaac Lab-Arena框架整合至LeRobot开源机器人库，实现200万英伟达机器人开发者与1300万 Hugging Face AI构建者的生态联通。双方适配的Hugging Face Reachy 2人形机器人可与NVIDIA Jetson Thor硬件无缝协作，桌面机器人Reachy Mini则支持与NVIDIA DGX Spark联动，开发者可直接调用相关 模型开展端到端开发。据悉，英伟达2025年已在Hugging Face贡献650个开源模型和250个数据集，相关 资源下载量在开源社区遥遥领先。 现场，黄仁勋表示，发布了多款机器人"大脑"的开源基础模型。同时宣布，包括波士顿动力、 Caterpillar、 ...

Core Viewpoint - NVIDIA has launched the open-source Newton Physics Engine and the open NVIDIA Isaac GR00T N1.6 reasoning vision language action model, enhancing robotics development by providing an accelerated platform for simulation and real-world application [2][4][8] Group 1: Technology Advancements - The Newton Physics Engine is GPU-accelerated and co-developed with Google DeepMind and Disney Research, enabling complex robot simulations [4][5] - The Isaac GR00T N1.6 model integrates NVIDIA Cosmos Reason, allowing robots to interpret vague instructions and perform tasks using prior knowledge and common sense [7][8] - The new dexterous grasping workflow in Isaac Lab 2.3 trains robots in a virtual environment, gradually increasing task complexity [13][14] Group 2: Adoption and Impact - Over a quarter-million robotics developers globally require accurate physics for safe real-world execution of robot skills [3] - Leading research institutions and companies, including ETH Zurich and Boston Dynamics, are adopting NVIDIA's technologies for robotics research and development [5][10][19] - The Cosmos Reason model has been downloaded over 1 million times and is leading in the Physical Reasoning Leaderboard on Hugging Face [8][9] Group 3: Infrastructure and Evaluation - NVIDIA is developing AI infrastructure to support demanding robotics workloads, including the upcoming Cosmos Predict 2.5 and Cosmos Transfer 2.5 models [18] - The Isaac Lab - Arena framework, co-developed with Lightwheel, will allow for scalable experimentation and standardized testing of robot skills [17][19] - The open-source NVIDIA Physical AI Dataset has been downloaded over 4.8 million times, providing extensive data for post-training of Isaac GR00T N models [9]