Command palette. 14 hours ago European industrial leaders are expanding the use of NVIDIA CUDA-X, Omniverse, Cosmos and Nemotron across engineering, simulation, manufacturing and factory operations, signaling a broad shift toward AI-driven industrial workflows. The moves, highlighted around GTC Berlin, position NVIDIA's open models, acceleration libraries and digital-twin tools as core infrastructure for companies seeking higher productivity, faster innovation and more efficient production. A major element of the announcement is the early-access availability on GitHub of the NVIDIA Factory Operations Blueprint, known as FOX. The blueprint gives developers a path to build always-on factory manager agents that can coordinate work across machines and support specialist tasks such as visual inspection, root cause analysis, report generation and fleet management. These agents can connect to frontier models such as Cosmos and Nemotron, as well as to foundational industrial systems including computer-aided design, product lifecycle management, simulation software, and IT and operational technology platforms. By correlating visual findings with machine logs, they can monitor operations in real time, investigate issues and coordinate responses. Cosmos in-context learning allows agents to adapt using examples and documentation without fine-tuning. Siemens is a central partner in this ecosystem, integrating FOX-based agents into its Intelligence Center X agentic enterprise system to identify root causes and coordinate factory operations, with estimated cost savings of 20 percent. Siemens' Process Preparation X agents also use NVIDIA Cosmos Data Factory tools to generate defect images for circuit-board inspection. At the company's Erlangen electronics factory, this approach has reduced inspection-process calibration time by 40 percent. The broader announcement covers accelerated engineering from early design through production planning. NVIDIA CUDA-X libraries are speeding simulation workloads, giving engineers faster feedback on structural stress, fluid flow, electromagnetic behavior and semiconductor performance. Mercedes-Benz is using Siemens' Simcenter STAR-CCM+ on NVIDIA GPUs to compare vehicle designs through faster aerodynamic simulations, while also applying NVIDIA Cosmos 3 and the Metropolis VSS blueprint to build agents for vehicle inspection and windshield assembly verification. Cadence is benchmarking automotive fluid-dynamics workloads, and Autodesk is bringing NVIDIA PhysicsNeMo and Warp frameworks into its simulation tools to help designers predict performance and iterate more quickly. In semiconductors, imec and Infineon are using Synopsys software with NVIDIA accelerated computing to speed simulation workloads, reporting benchmark results of up to 40x for S-Litho and 12x for 3D breakdown simulation. In aerospace, Leonardo is working with Neural Concept to combine aircraft geometry and aerodynamic simulation results using Omniverse. Car manufacturers are also using Dassault Systèmes' LEO and AURA virtual companions, powered by Nemotron and integrated with CATIA and SIMULIA AI agents, to design and virtually test vehicle components before building physical prototypes. A major theme is virtual validation of factories, robots and AI infrastructure. NVIDIA Omniverse and Isaac libraries are enabling digital twins that let manufacturers test production systems and robot behavior before changing the factory floor. Audi is using an Omniverse-based battery-production digital twin to test concepts before equipment is available, and is working with Dassault Systèmes and Agile Robots to simulate mobile humanoid robots and logistics processes. Schaeffler is integrating digital twins of humanoid actuators with Isaac simulation frameworks, while Wandelbots is using NOVA with Isaac Sim to validate assembly workflows digitally. The pattern extends to industrial facilities and AI data centers. Falkor, a Kongsberg company, is combining agents, Omniverse and Microsoft Azure virtual machines with NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs to support spatial intelligence for inspection and maintenance in process and energy industries. Schneider Electric, together with AVEVA, is developing an AI factory digital twin with Nscale to compare power, cooling and equipment configurations before deployment.

NVIDIA advances Isaac Platform for general-purpose robotics with new reference humanoid, frameworks, simulation pipelines and data. October 21, 2026 News Summary: * Agile Robots announces Agile ONE SN, a humanoid reference platform built on NVIDIA Isaac GR00T and NVIDIA Jetson Thor with planned integration of the NVIDIA Halos safety stack, giving developers and researchers a complete platform for frontier humanoid development and validation. * NVIDIA Isaac platform adds new Isaac OS runtime, Isaac Lab 3.0 for robot learning and open source reference workflows that combine ChatGPT Astra with NVIDIA Isaac and Cosmos on NVIDIA DGX Station to accelerate robot data generation, training and evaluation. * Europe's robotics ecosystem, including leaders like ABB Robotics, Flexion, Hexagon Robotics, Humanoid, KUKA, NEURA Robotics, Sereact and Universal Robots, is building on NVIDIA's open robotics platform to advance autonomous robotic systems. GTC Berlin - NVIDIA today announced a major expansion of the NVIDIA Isaac(TM) open robotics development platform, adding a reference humanoid, datasets and runtime, along with updates to its robot learning framework. Together, these technologies give developers an integrated path from data to deployment to bring general-purpose robots to the real-world faster. "General-purpose robotics is advancing at extraordinary speed - the ChatGPT moment for robotics is fast approaching," said Jensen Huang, founder and CEO of NVIDIA. "With NVIDIA Isaac, our full-stack open robotics platform, we are giving developers the models, data, simulation tools and computing systems to bring physical AI to the world's largest industries." Agile ONE SN - A Frontier Humanoid Reference Platform for Research Agile Robots announced Agile ONE SN, a full-stack reference humanoid preconfigured with NVIDIA Isaac GR00T and powered by the NVIDIA Jetson Thor(TM) edge AI platform. Robotics researchers and developers often struggle to integrate the separate simulation, training and deployment tools needed to take robot skills from development to the physical world. Agile ONE SN unifies these tools and workflows on a single platform, cutting setup time from weeks to days. Agile ONE SN features: * Agile ONE S humanoid body, standing 1.40 meters (4.59 feet tall) and weighing 40 kilograms (88 pounds), with 31 degrees of freedom and a 3-kilogram payload per arm. * Dual WUJI Hand 2 five-finger hands, each offering 20 degrees of freedom, 1kHz force control and tactile sensing for dexterous manipulation * NVIDIA Jetson Thor onboard compute, delivering 2,070 FP4 teraflops of compute and 128GB of unified memory for onboard reasoning and real-time control. * Multimodal sensing, including head and wrist cameras, lidar sensors and inertial measurement units to help the robot perceive and interact with its surroundings. * NVIDIA Isaac GR00T platform, which comprises the GR00T foundation model, a full workflow from data capture to deployment and whole-body control for coordinated movement. * Safety capabilities, with planned integration of on-robot safety protocols with the NVIDIA Halos full-stack safety system for robotics. "The breakthrough for humanoids is usefulness at scale: one adaptable machine that learns many skills and works across environments built for people," said Zhaopeng Chen, founder and CEO of Agile Robots. "Today, Agile Robots introduced Agile ONE SN, a full-stack, open reference humanoid built on NVIDIA Isaac GR00T, powered by Jetson Thor, giving developers a ready system to create, train and validate the capabilities needed to put humanoids to work." Scheduled to be available in early 2027, Agile ONE SN is designed to advance frontier humanoid research and development, with interest from leading institutions such as Stanford University and ETH Zurich. New NVIDIA Technology Accelerate Robot Learning - From Data to Deployment New NVIDIA technologies help developers generate training data, scale robot learning, build simulation environments and deploy robot applications, reducing time to solution. * SimReady Central Library offers more than 2,000 simulation-ready robotics and factory assets, while the Human 1M Dataset includes diverse human activities, synchronized three-view video and 3D hand tracking. Both are available on Hugging Face, with the full Human 1M Dataset accessible to Cosmos Coalition partners. * NVIDIA Isaac Lab 3.0 is now generally available, providing an open source, agent-ready learning framework training and refining robot policies from desktop to data center using multi-GPU workflows and physics engines including Newton and NVIDIA PhysX(TM). * NVIDIA Isaac OS, an open source runtime framework built on NVIDIA Holoscan, connects AI, sensors, controls and robot hardware for deterministic, real-time performance from simulation to physical robots. * NVIDIA is releasing three open source reference workflows for NVIDIA DGX Station(TM) that help developers refine GR00T 1.7 models with reinforcement learning, train dexterous manipulation skills in NVIDIA Isaac Lab and post-train NVIDIA Cosmos(TM) world models for synthetic data generation using ChatGPT Astra. * NVIDIA Halos provides a full-stack safety platform built on NVIDIA IGX Thor(TM) to help move autonomous vehicles and robots from development to safer real-world deployment at scale. SimReady Central Library on Hugging Face includes simulation-ready assets from Comau, FANUC, ForgeCAD, Franka Robotics, LG Electronics, Palatial, Robotiq, Standard Bots, Universal Robots and Vertiv. NVIDIA's open source robot learning reference workflows running on DGX Station will be supported by solutions from 1X, Agile Robots, Humanoid, Maven Robotics, Mentee, MicroAGI, Rhoda, Sereact and Skild AI. Robotics partners are integrating NVIDIA Halos within their safety architectures, including Agile Robots, Agility, Dexory, FORT Robotics and KION for warehouse robot safety. SICK is evaluating Halos to advance dynamic safety for industrial robots, helping them respond to changing conditions beyond fixed zones. Advantech and NexCOBOT are developing NVIDIA IGX-based industrial computing platforms, while Reynolds & Moore, Accenture and TÜV SÜD are accelerating the certification process for the safe deployment of industrial physical AI. European Robotics Leaders Build on NVIDIA Open Technologies ABB Robotics is integrating NVIDIA Omniverse(TM) libraries with RobotStudio HyperReality to simulate and virtually commission robotic systems before installation across a wide range of industries. KUKA Group is using Omniverse libraries in its Visual Components FactoryLens to add real-time rendering for factory simulation workflows. Sereact is using Isaac GR00T with Cosmos Transfer to train and post-train its Cortex platform for goods handling, running on Universal Robots industrial robot arms. Using Jetson Thor, Holoscan Sensor Bridge, Halos and NVIDIA Isaac OS, Humanoid is developing and validating robot behaviors before industrial pilots, Hexagon Robotics is building AEON perception capabilities including teleoperation video, localization, mapping and object pose detection, and Bear Robotics is accelerating KR1 perception and model execution while post-training Isaac GR00T through Kino-2 for warehouse, returns and industrial workflows. Toyota Material Handling Europe and SoftServe use Omniverse and the NVIDIA Isaac Sim(TM) framework to develop autonomous material-handling solutions, reducing deployment time by up to 50%. Idealworks is using NVIDIA open models and Jetson to develop memory capabilities for autonomous mobile robots in factories. Analog Devices Inc. (ADI) is using NVIDIA Jetson AGX Orin(TM) and the cuVSLAM library to build autonomous mobile robots. Hugging Face and Pollen Robotics are using NVIDIA Isaac Lab, Isaac Sim and Newton to build Microduck, a small, open source robot designed to help developers and students train, modify and share new physical behaviors. Franka Robotics is using NVIDIA NIM(TM) microservices and Isaac Sim to turn natural-language requests into actions on its Franka FR3 Duo robot system. Bellboy is using Jetson and GR00T to power Billie, its first robot teammate built on Bellboy's physical AI infrastructure, already deployed at hotels operated by Marriott, Hilton, IHG and OYO. Flexion is using Isaac Lab and Newton to scale learning for Reflect, its unified robot intelligence model combining reasoning and whole-body movement for complex manipulation across robot bodies. Schaeffler is contributing its actuator technology as an exclusive foundational component for Newton, helping accelerate humanoid robot development with NVIDIA Isaac Lab and Isaac Sim. NEURA Robotics is using Isaac Sim and Isaac Lab to generate synthetic training data and train robot skills in simulation for Neuron AI, its multimodal foundation model.