News Summary:<\/p>\n
\n\tPhysical AI leaders across robot brain developers, industrial, and surgical robot giants and humanoid pioneers including ABB Robotics, AGIBOT, Agility, CMR Surgical, FANUC, Figure, Hexagon Robotics, KUKA, Medtronic, Skild AI, Universal Robots, World Labs and YASKAWA are building on NVIDIA technology to develop and deploy physical AI at scale.
\n\tNVIDIA unveils new NVIDIA Cosmos world models, NVIDIA Isaac simulation frameworks and NVIDIA Isaac GR00T N models to accelerate the transition to intelligent robotics.
\n\tStrategic ecosystem partnerships are transforming platform integrations into real-world industrial impact, from high-precision electronics assembly and autonomous construction deployment to AI-driven automation for manufacturers of all sizes.
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GTC\u2014NVIDIA is partnering with the global robotics ecosystem \u2014 including leading robot brain developers, industrial robot giants and humanoid pioneers \u2014 to power production-scale physical AI. NVIDIA also unveiled new NVIDIA Isaac\u2122 simulation frameworks<\/a> and new NVIDIA Cosmos\u2122<\/a> and NVIDIA Isaac GR00T<\/a> open models for the industry to develop, train and deploy the next generation of intelligent robots.<\/p>\n Industry leaders building on the NVIDIA platform include ABB Robotics<\/a>, AGIBOT, Agility<\/a>, FANUC, Figure, Hexagon Robotics<\/a>, KUKA, Skild AI, Universal Robots, World Labs and YASKAWA.<\/p>\n \u201cPhysical AI has arrived \u2014 every industrial company will become a robotics company,\u201d said Jensen Huang, founder and CEO of NVIDIA. \u201cNVIDIA\u2019s full-stack platform \u2014 spanning computing, open models and software frameworks \u2014 is the foundation for the robotics industry, uniting a worldwide ecosystem to build the intelligent machines that will power the next generation of factories, logistics, transportation and infrastructure.\u201d<\/p>\n Validating the World\u2019s Largest Robotic Fleets With a global install base exceeding 2 million robots, FANUC, ABB Robotics, YASKAWA and KUKA are integrating NVIDIA Omniverse<\/a>\u2122 libraries and NVIDIA Isaac simulation frameworks into their virtual commissioning solutions to develop and validate complex robot applications and entire production lines through physically accurate digital twins. To power advanced intelligence on the production line, the companies are integrating NVIDIA Jetson\u2122<\/a> modules into their controllers for real-time AI inference at the edge.<\/p>\n Building Robot Brains for Any Embodiment Leading developers such as FieldAI<\/a> and Skild AI are building generalized robot brains using NVIDIA Cosmos world models for data generation and Isaac simulation frameworks to validate policies in simulation, enabling any robot to master new tasks with minimal retraining. World Labs is using Isaac Sim\u2122<\/a> to validate its generative world models, while Generalist AI is using Cosmos to explore generating synthetic data.<\/p>\n NVIDIA today announced Cosmos 3, the first world foundation model unifying synthetic world generation, vision reasoning and action simulation to accelerate the development of generalized robot intelligence for complex environments.<\/p>\n Powering the Next Generation of Humanoid Robots Leaders including 1X<\/a>, AGIBOT, Agility, Agile Robots, Boston Dynamics, Figure, Hexagon Robotics<\/a>, Humanoid<\/a>, Mentee and NEURA Robotics are building the next generation of humanoids using Cosmos world models, Isaac Sim and Isaac Lab to accelerate the development and validation of their robots.<\/p>\n NVIDIA today introduced Isaac Lab 3.0<\/a> in early access, enabling faster, large-scale robot learning on NVIDIA DGX\u2122-class infrastructure. Built on the new Newton physics engine<\/a> 1.0 and the NVIDIA PhysX<\/a>\u00ae software development kit, it adds multiphysics simulation and improved support for complex, dexterous manipulation.<\/p>\n AGIBOT, Humanoid, LG Electronics, NEURA Robotics and Noble Machines<\/a> are also adopting NVIDIA Isaac GR00T N models to accelerate industrial deployments of their humanoids. NVIDIA announced GR00T N1.7<\/a> is now available in early access with commercial licensing, bringing generalized robot skills including advanced dexterous control to production-ready robot deployments.<\/p>\n In addition, during his GTC keynote, Huang previewed GR00T N2, a next-generation robot foundation model based on DreamZero<\/a> research. Built on a new world action model architecture, the model helps robots succeed at new tasks in new environments more than twice as often as leading vision language action models. Slated to be available by the end of the year, GR00T N2 currently ranks No. 1 on MolmoSpaces and RoboArena for generalist robot policies.<\/p>\n These systems are powered by the NVIDIA Jetson Thor\u2122 robotic computing platform<\/a>, enabling developers to move from simulation training to real-world deployment with greater speed, intelligence and reliability.<\/p>\n Expanding Physical AI to Healthcare Robotics CMR Surgical is using Cosmos-H simulation to train and validate robotic intelligence for its Versius surgical system prior to clinical deployment. Johnson & Johnson MedTech is using Isaac Sim- and Cosmos-based post-training workflows to train and validate systems for the Monarch Platform for Urology. Medtronic is exploring NVIDIA IGX Thor<\/a>\u2122 to deliver mission-critical precision and functional safety in surgical robotic systems.<\/p>\n A Global Catalyst for Robotic Innovation These strategic collaborations across industry leaders are already translating platform integration into real-world impact.<\/p>\n Skild AI is partnering with ABB Robotics and Universal Robots to deploy its generalized robot intelligence across different industries and tasks. By embedding a shared intelligence layer into widely deployed industrial and collaborative systems, manufacturers can extend automation into more dynamic and variable applications without building task-specific code for every workflow. Simultaneously, Skild AI is partnering with Foxconn on high-precision assembly for NVIDIA Blackwell production lines, enabling Foxconn\u2019s AI-driven dual-arm manipulators to master the industry\u2019s most complex manufacturing tasks.<\/p>\n Lightwheel<\/a> is codeveloping and calibrating the Newton physics engine to enable Samsung\u2019s assembly robots to master intricate cable handling in simulation, delivering higher precision and faster assembly lines.<\/p>\n PTC is announcing a new robotics design-to-simulation workflow from its cloud-native Onshape<\/a> computer-aided design (CAD) and product data management platform to NVIDIA Isaac Sim, creating a seamless CAD-to-OpenUSD bridge that will enable engineering teams like FANUC America Corporation and Fauna Robotics to design and validate their robotic systems within physically accurate digital twins.<\/p>\n WORKR<\/a>\u00a0is integrating its AI platform with ABB Robotics industrial robots, using NVIDIA Omniverse libraries as part of its WorkrCore to train a robotic workforce that can be deployed by small- and medium-sized manufacturers in minutes, without programming knowledge.<\/p>\n KION Group<\/a>, the supply chain solutions company, is working with NVIDIA and Accenture to advance autonomous warehouse solutions. Using Omniverse and a physical AI-powered digital twin and systems architecture pioneered by Accenture, KION engineers can create large-scale, physics-accurate warehouse digital twins to train and test fleets of NVIDIA Jetson-based autonomous forklifts for GXO, the world\u2019s largest pure-play contract logistics provider.<\/p>\n Microsoft Azure and Nebius are integrating the NVIDIA Physical AI Data Factory blueprint to enable scalable, agent-driven synthetic data generation for their developers, including FieldAI, Teradyne Robotics, Hexagon Robotics<\/a> on Azure, and RoboForce on Nebius. CoreWeave<\/a> is integrating NVIDIA Isaac Lab to build robot learning pipelines, while Alibaba Cloud is integrating NVIDIA\u2019s entire physical AI stack into its Platform for AI to accelerate end-to-end robotics development.<\/p>\n Kamino, a GPU-accelerated physics simulator built by Disney<\/a> on the NVIDIA Warp framework and integrated into Newton, enables the training of robot policies for Disney\u2019s Olaf and BDX Droids \u2014 allowing Olaf to learn to manage its own heat and reduce impact noise, and enabling BDX Droids to navigate complex environments. In his GTC keynote, Huang was joined by Disney\u2019s Olaf ahead of his debut at Disneyland Paris on March 29.<\/p>\n Helping Tomorrow\u2019s Physical AI Pioneers Get Off the Ground Through the NVIDIA Inception program, a global startups incubator with over 40,000 members, NVIDIA provides robotics pioneers with a dedicated entry point to NVIDIA\u2019s open physical AI stack. Inception members like Bedrock Robotics, Dexterity AI, Flexion, Lightwheel, RIVR, Standard Bots, Vention<\/a> and World Labs get access to technical guidance and high-performance computing resources, as well as connections to key partners and customers across the robotics ecosystem.<\/p>\n NVIDIA has also partnered with Hugging Face to integrate Isaac and GR00T into the LeRobot open source framework, connecting NVIDIA\u2019s 2 million robotics developers with Hugging Face\u2019s 13 million AI builders worldwide to accelerate the development of open source robotics.<\/p>\n Watch the GTC keynote<\/a> from Huang and explore physical AI<\/a>, robotics<\/a> and vision AI<\/a> sessions.<\/p>\n Featured image courtesy of ABB Robotics (top left), Skild AI (bottom left), Humanoid (top right) and Universal Robotics (bottom right).<\/p>\n","protected":false},"excerpt":{"rendered":"News Summary:
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\nAs industrial robotics becomes more AI driven, manufacturers need physically accurate, high-fidelity simulation to design, test and optimize systems before deployment.<\/p>\n
\nRobotics is evolving from task-specific machines to adaptable generalist-specialist systems that maintain the precision and reliability required for industrial-grade deployment. To achieve this, robots need humanlike reasoning and the ability to perceive, decide and act autonomously.<\/p>\n
\nBuilding humanoid robots<\/a> is one of robotics\u2019 greatest challenges. Replicating human mobility, dexterity and reasoning requires tightly integrating advanced AI, perception and real-time control into a safe, reliable and autonomous system.<\/p>\n
\nHealthcare is a defining opportunity for physical AI but deploying autonomous systems across surgery, imaging and hospitals demands infrastructure built for the highest standards of safety and regulatory rigor.<\/p>\n
\nBy building an open and integrated platform for designing, training, testing and deploying physical AI, NVIDIA is fostering collaboration in the robotics ecosystem, essential to scale deployments in the real world.<\/p>\n
\nNVIDIA is committed to ensuring that the tools for physical AI are accessible to every innovator, from early-stage startups to the global open source community.<\/p>\n