News Summary:<\/p>\n
\n\tFrom mobile manipulators to humanoids, Boston Dynamics, Caterpillar, Franka Robots, Humanoid, LG Electronics and NEURA Robotics debut new robots and autonomous machines built on NVIDIA technologies.
\n\tNVIDIA releases new NVIDIA Cosmos and GR00T open models and data for robot learning and reasoning, Isaac Lab-Arena for robot evaluation and the OSMO edge-to-cloud compute framework to simplify robot training workflows.
\n\tNVIDIA and Hugging Face integrate NVIDIA Isaac open models and libraries into LeRobot to accelerate the open-source robotics community.
\n\tThe NVIDIA Blackwell architecture-powered Jetson T4000 module is now available, delivering 4x greater energy efficiency and AI compute.
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CES\u2014NVIDIA today announced new open models, frameworks and AI infrastructure for physical AI<\/a>, and unveiled robots for every industry from global partners.<\/p>\n The new NVIDIA technologies speed workflows across the entire robot development lifecycle to accelerate the next wave of robotics<\/a>, including building generalist-specialist robots that can quickly learn many tasks.<\/p>\n Global industry leaders including Boston Dynamics, Caterpillar, Franka Robotics, Humanoid<\/a>, LG Electronics<\/a> and NEURA Robotics<\/a> are using the NVIDIA robotics stack to debut new AI-driven robots.<\/p>\n \u201cThe ChatGPT moment for robotics is here. Breakthroughs in physical AI \u2014 models that understand the real world, reason and plan actions \u2014 are unlocking entirely new applications,\u201d said Jensen Huang, founder and CEO of NVIDIA. \u201cNVIDIA\u2019s full stack of Jetson robotics processors, CUDA, Omniverse and open physical AI models empowers our global ecosystem of partners to transform industries with AI-driven robotics.\u201d<\/p>\n New Open Models Advance Robot Learning and Reasoning NVIDIA is building open models that allow developers to bypass resource-intensive pretraining and focus on creating the next generation of AI robots and autonomous machines. These new models, all available on Hugging Face, include:<\/p>\n
Franka Robotics, NEURA Robotics and Humanoid are using GR00T-enabled workflows to simulate, train and validate new behaviors for robots. Salesforce<\/a> is using Agentforce, Cosmos Reason and the NVIDIA Blueprint for video search and summarization<\/a> to analyze video footage captured by its robots and reduce incident resolution times by 2x.<\/p>\n LEM Surgical<\/a> is using NVIDIA Isaac<\/a> for Healthcare<\/a> and Cosmos Transfer to train the autonomous arms of its Dynamis surgical robot, powered by NVIDIA <\/a>Jetson AGX Thor<\/a>\u2122 and Holoscan. XRlabs<\/a> is using Thor and Isaac for Healthcare to enable surgical scopes, starting with exoscopes, to guide surgeons with real-time AI analysis.<\/p>\n New Open-Source Simulation and Compute Frameworks for Robotics Development NVIDIA today released new open-source frameworks on GitHub that simplify these complex pipelines and accelerate the transition from research to real-world use cases.<\/p>\n NVIDIA Isaac<\/a> Lab-Arena<\/a> is an open-source framework, available on GitHub, that provides a collaborative system for large-scale robot policy evaluation and benchmarking in simulation, with the evaluation and task layers designed in close collaboration with Lightwheel<\/a>. Isaac Lab-Arena<\/a> connects to industry-leading benchmarks like Libero and Robocasa, standardizing testing and ensuring robot skills are robust and reliable before deployment to physical hardware.<\/p>\n NVIDIA OSMO<\/a> is a cloud-native orchestration framework that unifies robotic development into a single, easy-to-use command center. OSMO lets developers define and run workflows such as synthetic data generation<\/a>, model training and software-in-the-loop testing across different compute environments \u2014 from workstations to mixed cloud instances \u2014 speeding up development cycles.<\/p>\n OSMO is now available and used by robot developers such as Hexagon Robotics, and integrated into the Microsoft Azure Robotics Accelerator toolchain.<\/p>\n NVIDIA and Hugging Face Accelerate Open-Source Physical AI Development To bolster this community, NVIDIA is working with Hugging Face to integrate open-source Isaac and GR00T<\/a> technologies into the leading LeRobot open-source robotics framework, providing streamlined access to integrated software and hardware tools that accelerate end-to-end development. This collaboration unites NVIDIA\u2019s 2 million robotics developers with Hugging Face\u2019s global community of 13 million AI builders.<\/p>\n GR00T N models and Isaac Lab-Arena are now available in the LeRobot library for easy fine-tuning and evaluation. Hugging Face\u2019s open-source Reachy 2 humanoid will be fully interoperable with the NVIDIA Jetson Thor\u2122 robotics computer<\/a>, letting developers run any VLA, including GR00T N1.6. Hugging Face\u2019s open-source Reachy Mini tabletop robot is also fully interoperable with NVIDIA DGX Spark\u2122<\/a> to build custom experiences with NVIDIA large language models, and voice and computer vision open models that run locally.<\/p>\n Humanoid Robot Developers Adopt NVIDIA Jetson Thor NEURA Robotics is launching a Porsche-designed Gen 3 humanoid, as well as a smaller-sized humanoid optimized for dexterous control. Richtech Robotics is launching Dex, a mobile humanoid for sophisticated manipulation and navigation across complex industrial environments. AGIBOT is introducing humanoids for both industrial and consumer sectors, and Genie Sim 3.0, a robot simulation platform integrated with Isaac Sim<\/a>. LG Electronics<\/a> unveiled a new home robot built to perform a wide range of indoor household tasks.<\/p>\n Boston Dynamics, Humanoid and RLWRLD have all integrated Jetson Thor into their existing humanoids to enhance their navigation and manipulation capabilities.<\/p>\n Bringing Physical AI to the Industrial Edge NVIDIA IGX Thor<\/a>, which will be available later this month, extends robotics to the industrial edge, offering high-performance AI computing with enterprise software support and functional safety. Archer is using IGX Thor to bring AI to aviation, advancing critical capabilities in aircraft safety, airspace integration and autonomy-ready systems.<\/p>\n Partners including AAEON, Advantech, ADLINK<\/a>, Aetina<\/a>, AVerMedia<\/a>, Connect Tech, EverFocus<\/a>, ForeCR<\/a>, Lanner<\/a>, RealTimes, Syslogic, Vecow<\/a> and YUAN<\/a> offer Thor-powered systems equipped for edge AI, robotics and embedded applications.<\/p>\n In addition, Caterpillar is expanding its collaboration with NVIDIA to bring advanced AI and autonomy to equipment and job sites in construction and mining. Caterpillar CEO Joe Creed will share details alongside NVIDIA Vice President of Robotics and Edge AI Deepu Talla during a CES keynote on Wednesday, Jan. 7.<\/a><\/p>\n
\nTurning today\u2019s costly, single-task and hard-to-program machines into reasoning generalist-specialist robots requires enormous capital and expertise to build foundation models.<\/p>\n
\n\tNVIDIA Cosmos\u2122 Transfer 2.5<\/a> and NVIDIA Cosmos Predict 2.5<\/a> \u2014 open, fully customizable world models that enable physically based synthetic data generation and robot policy evaluation in simulation for physical AI.
\n\tNVIDIA Cosmos Reason 2<\/a>, an open reasoning vision language model (VLM) that enables intelligent machines to see, understand and act in the physical world like humans.
\n\tNVIDIA Isaac\u2122 GR00T N1.6<\/a>, an open reasoning vision language action (VLA) model, purpose-built for humanoid robots, that unlocks full body control and uses NVIDIA Cosmos Reason for better reasoning and contextual understanding.
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\nScalable simulation is essential for training and evaluating robots, but current workflows remain fragmented and difficult to manage. Benchmarking is often manual and hard to scale, while end-to-end pipelines require complex orchestration across disparate compute resources.<\/p>\n
\nRobotics is now the fastest-growing category on Hugging Face, where NVIDIA\u2019s open models and datasets lead downloads<\/a> among a surging open-source community.<\/p>\n
\nNVIDIA Jetson Thor meets the massive computing requirements for humanoid robots<\/a> with reasoning. At CES, humanoid developers are showcasing new state-of-the-art robots now integrated with Jetson Thor.<\/p>\n
\nProviding a cost-effective, high-performance upgrade path for NVIDIA Jetson Orin<\/a>\u2122 customers, the new NVIDIA Jetson\u2122 T4000 module<\/a> brings the NVIDIA Blackwell architecture to autonomous machines and general robotics for $1,999 at 1,000-unit volume. It delivers 4x the performance of the previous generation with 1,200 FP4 TFLOPS and 64GB of memory, all within a configurable 70-watt envelope ideal for energy-constrained autonomy.<\/p>\n