NVIDIA Drives Next-Gen Robotics Forward with Key Open-Source Contributions and Isaac ROS 4.0 Release

Published on October 26, 2025 at 12:00 AM
NVIDIA Drives Next-Gen Robotics Forward with Key Open-Source Contributions and Isaac ROS 4.0 Release

NVIDIA Advances Robotics with ROS 2 and Isaac ROS 4.0

At ROSCon Singapore, NVIDIA introduced significant advancements to the Robot Operating System (ROS) 2 framework and released Isaac ROS 4.0, a suite of GPU-accelerated libraries and AI models designed to accelerate robotics development.

These contributions, including support for the Open Source Robotics Alliance’s (OSRA) Physical AI Special Interest Group, aim to establish ROS 2 as the leading framework for real-world robotic applications.

Driving Open Standards in Robotics

NVIDIA’s support for OSRA’s Physical AI Special Interest Group focuses on real-time robot control, AI processing, and tools for autonomous behavior, reinforcing the company’s commitment to open standards in robotics development.

By integrating GPU-aware abstractions into ROS 2, NVIDIA ensures the framework can efficiently manage various processors, from CPUs to GPUs, guaranteeing high-speed performance and future-proofing the ecosystem.

Enhancing ROS 2 with GPU-Aware Capabilities

The integration of GPU-aware capabilities into ROS 2 allows the framework to intelligently manage hardware resources, ensuring consistent performance and adaptability to new technologies.

Additionally, NVIDIA’s Greenwave Monitor tool helps developers identify and resolve performance bottlenecks, further optimizing robot performance and reliability.

Introducing Isaac ROS 4.0

Isaac ROS 4.0, now available on the NVIDIA Jetson Thor platform, provides developers with CUDA-accelerated libraries, AI models, and workflows to enhance robot manipulation and mobility.

These tools streamline the creation of advanced robotic systems, enabling developers to leverage AI and high-performance computing for innovative robotics applications.

Industry-Wide Collaboration

NVIDIA’s contributions are already being utilized by partners such as AgileX Robotics, Canonical, Ekumen Labs, Intrinsic, and others, facilitating the development of advanced robots across various industries.

These collaborations demonstrate the practical impact of NVIDIA’s technologies in real-world robotics applications.

NVIDIA’s Commitment to Physical AI

NVIDIA remains committed to providing the open-source community with the tools and technologies needed to advance physical AI and robotics.

Developers are encouraged to explore these advancements and join NVIDIA at ROSCon to learn more about the future of robotics development.