Physical AI can only scale as fast as safety scales with it. 🦺 Lessons from more than a decade of autonomous vehicle safety work are helping shape how robots are designed, validated and deployed alongside people. Learn how NVIDIA Halos is helping: https://nvda.ws/4rlylLn
#NVIDIA
Agility@agilityroboticsEditorial score1515Quoted postNVIDIA Robotics@NVIDIARobotics
NVIDIA — RoboticsEditorial score2828 Children’s Hospital Uses Open Source AI for Rapid Cardiac Modeling
CHOP leverages NVIDIA’s MONAI to create precise heart models in seconds, improving care for congenital heart disease patients. The approach is now used in over 20 children’s hospitals.
Skild AI@SkildAIEditorial score1515Partnering with @NVIDIARobotics from training to deployments.
Quoted postNVIDIA Robotics@NVIDIARobotics@SkildAI's new S1 robot foundation model helps robots learn previously unseen tasks from a single video demonstration. 🤖 See how NVIDIA technology supports S1 from training and simulation to real-world deployment. Learn more ➡️ https://nvda.ws/4r29k7E
NVIDIA — RoboticsSignalEditorial score8888 Into the Omniverse: How Open World Models Push the Frontier of Physical AI
NVIDIA introduces Cosmos 3, an open-world model family for physical AI, combining vision reasoning, world generation, and action prediction. Available under the Linux Foundation’s OpenMDW 1.1 license, it enables post-training and adaptation for robotics, autonomous vehicles, and vision AI systems. The model ranks highly in benchmark evaluations and is part of NVIDIA’s broader physical AI stack.
Editorial context:NVIDIA introduces Cosmos 3, an open-world model family for physical AI, emphasizing its role in generating synthetic data, simulating future states, and enabling specialization for robotics, autonomous vehicles, and vision AI systems. The model is available under the Linux Foundation’s OpenMDW 1.1 license, supporting post-training and adaptation.
Hugging Face — RoboticsSignalEditorial score8888 NVIDIA Cosmos-H-Dreams: Bringing Real-Time Generative Simulation to Surgical Robotics
NVIDIA introduces Cosmos-H-Dreams, a real-time, action-conditioned generative simulator for surgical robotics. It distills the capabilities of Cosmos-H-Surgical-Simulator into a causal, few-step student model, enabling interactive environments for policy evaluation and synthetic data generation. The system runs on a single NVIDIA RTX PRO 6000 GPU and supports integration with surgical platforms like Versius.
Editorial context:NVIDIA's Cosmos-H-Dreams represents a significant advancement in real-time generative simulation for surgical robotics, enabling interactive training and evaluation of vision-language-action policies. It builds on prior work with Cosmos-H-Surgical-Simulator and introduces a causal, few-step student model optimized for real-time performance.
NVIDIA — RoboticsSignalEditorial score8585 NVIDIA Open Sources First GPU-Accelerated Medical Physics Simulation Framework
NVIDIA has released an open-source, GPU-accelerated Medical Physics Simulation framework as part of its Isaac for Healthcare platform. This tool enables developers to model anatomy-device interactions, generate complex scenarios, and train robot policies in simulation, significantly reducing development time and improving regulatory readiness.
Editorial context:NVIDIA's open-source Medical Physics Simulation framework integrates classical physics and generative AI to enable realistic medical robotics training, offering scalable simulation environments for anatomical and device interactions.
NVIDIA — RoboticsSignalEditorial score8585 NVIDIA and Hugging Face Bring New Models and Frameworks to LeRobot for the Open Robotics Community
NVIDIA and Hugging Face are releasing the NVIDIA Isaac GR00T 1.7 model and Isaac Teleop framework into LeRobot, an open-source robotics library, to provide developers with shared tools for training, evaluating, and deploying robot foundation models. NVIDIA Cosmos 3, a frontier world model for physical AI, is also set to be integrated soon.
Editorial context:NVIDIA and Hugging Face are collaborating to integrate advanced models and frameworks into LeRobot, an open-source robotics library, to streamline end-to-end robot development and foster community innovation.
Isaac Lab — ReleasesEditorial score1212 Isaac Lab 3.0 Beta 2 Patch 1 Release
Updates Isaac Sim to 6.0.1, fixes NuRec workflows, and improves compatibility. Includes h5py version bump and docker image updates.
NVIDIA — RoboticsSignalEditorial score8585 Firefly Aerospace Operates NVIDIA Jetson in Lunar Orbit for the First Time
Firefly Aerospace's Blue Ghost Mission 2 will deploy NVIDIA Jetson for on-orbit AI processing, enabling real-time lunar data analysis and reducing latency. This marks the first use of Jetson in lunar orbit, supporting scientific research and future lunar exploration.
Editorial context:NVIDIA Jetson's deployment in lunar orbit marks a significant step in edge AI for space applications, enabling real-time data processing and reducing reliance on Earth-based computation.
Open Robotics — BlogEditorial score1515 Resources for ROS 1 Users
ROS 2 has been in development for over a decade, but many users still rely on ROS 1. This article lists commercial resources to support ongoing use, including security patches and bug fixes.
Open Robotics — BlogEditorial score4040 Open Robotics Joins Google Summer of Code 2025 with Record Student Participation
Open Robotics reports record nine students participating in GSoC 2025 across five projects. Key projects include ROS 2 tracing improvements, C/C++ to ROS message conversion, and Gazebo-based sonar simulations.
Hugging Face — RoboticsSignalEditorial score8383 Post-Training Isaac GR00T N1.5 for LeRobot SO-101 Arm
NVIDIA has released the GR00T N1.5 model, a cross-embodiment foundation model for generalized humanoid robot reasoning and skills. The model can be fine-tuned using teleoperation data from a SO-101 arm, with a detailed tutorial provided for developers. The release includes instructions for dataset preparation, fine-tuning, evaluation, and deployment.
Editorial context:NVIDIA's GR00T N1.5 is a cross-embodiment model for generalized humanoid robot reasoning and skills, adaptable through post-training for specific tasks and environments. The release includes a step-by-step tutorial for fine-tuning using teleoperation data from a SO-101 arm, emphasizing the use of the EmbodimentTag system for customization.