NVIDIA announced new open models, frameworks and AI infrastructure for physical AI, and unveiled robots for every industry from global partners. The new NVIDIA technologies speed workflows across the entire robot development lifecycle to accelerate the next wave of robotics, including building generalist-specialist robots that can quickly learn many tasks. Global industry leaders including Boston Dynamics, Caterpillar, Franka Robotics, Humanoid, LG Electronics and NEURA Robotics are using the NVIDIA robotics stack to debut new AI-driven robots.
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 NVIDIA Cosmos Transfer 2.5 and NVIDIA Cosmos Predict 2.5 ? open, fully customizable world models that enable physically based synthetic data generation and robot policy evaluation in simulation for physical AI; NVIDIA Cosmos Reason 2, an open reasoning vision language model (VLM) that enables intelligent machines to see, understand and act in the physical world like humans; NVIDIA Isaac GR00T N1.6, 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.
Franka Robotics, NEURA Robotics and Humanoid are using GR00T-enabled workflows to simulate, train and validate new behaviors for robots. Salesforce is using Agentforce, Cosmos Reason and the NVIDIA Blueprint for video search and summarization to analyze video footage captured by its robots and reduce incident resolution times by 2x. LEM Surgical is using NVIDIA Isaac for Healthcare and Cosmos Transfer to train the autonomous arms of its Dynamis surgical robot, powered by NVIDIA Jetson AGX Thor and Holoscan.
XRlabs is using Thor and Isaac for Healthcare to enable surgical scopes, starting with exoscopes, to guide surgeons with real-time AI analysis. NVIDIA released new open-source frameworks on GitHub that simplify these complex pipelines and accelerate the transition from research to real-world use cases. NVIDIA IsaacLab-Arena 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.
Isaac Lab-Arena connects to industry-leading benchmarks like Libero and Robocasa, standardizing testing and ensuring robot skills are robust and reliable before deployment to physical hardware. NVIDIA OSMO 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, model training and software-in-the-loop testing across different compute environments ?
from workstations to mixed cloud instances ? speeding up development cycles. OSMO is now available and used by robot developers such as Hexagon Robotics, and integrated into the Microsoft Azure Robotics Accelerator toolchain.
NVIDIA is working with Hugging Face to integrate open-source Isaac and GR00T technologies into the leading LeRobot open-source robotics framework, providing streamlined access to integrated software and hardware tools that accelerate end-to-end development. GR00T N models and Isaac Lab-Arena are now available in the LeRobot library for easy fine-tuning and evaluation. Hugging Face?s open-source Reachy 2 humanoid will be fully interoperable with the NVIDIA Jetson Thor robotics computer, letting developers run any VLA, including GR00T N1.6. Hugging Face?s open-source Reachy Mini tabletop robot is also fully interoperable with NVIDIA DGX Spark to build custom experiences with NVIDIA large language models, and voice and computer vision open models that run locally.
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.
LG Electronics unveiled a new home robot built to perform a wide range of indoor household tasks. Boston Dynamics, Humanoid and RLWRLD have all integrated Jetson Thor into their existing humanoids to enhance their navigation and manipulation capabilities. The new NVIDIA Jetson T4000 module 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. NVIDIA IGX Thor, 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. Partners including AAEON, Advantech, ADLINK, Aetina, AVerMedia, Connect Tech, EverFocus, ForeCR, Lanner, RealTimes, Syslogic, Vecow and YUAN offer Thor-powered systems equipped for edge AI, robotics and embedded applications.
Caterpillar is expanding its collaboration with NVIDIA to bring advanced AI and autonomy to equipment and job sites in construction and mining.
