{"id":4321,"date":"2025-10-27T02:42:19","date_gmt":"2025-10-27T02:42:19","guid":{"rendered":"https:\/\/salarydistribution.com\/machine-learning\/2025\/10\/27\/nvidia-contributes-to-open-frameworks-for-next-generation-robotics-development\/"},"modified":"2025-10-27T02:42:19","modified_gmt":"2025-10-27T02:42:19","slug":"nvidia-contributes-to-open-frameworks-for-next-generation-robotics-development","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2025\/10\/27\/nvidia-contributes-to-open-frameworks-for-next-generation-robotics-development\/","title":{"rendered":"NVIDIA Contributes to Open Frameworks for Next-Generation Robotics Development"},"content":{"rendered":"
\n\t\t<\/span> <\/span> <\/span><\/span><\/p>\n

This year\u2019s ROSCon<\/a> conference heads to Singapore, bringing together the global robotics developer community behind Robot Operating System (ROS) \u2014 the world\u2019s most widely adopted open framework for building robots.<\/p>\n

At the conference, running through Wednesday, Oct. 29, NVIDIA announced collaborations with partners and the Open Source Robotics Alliance<\/a> (OSRA), as well as new robotics software to advance open standards and accelerate robotics development.<\/p>\n

NVIDIA is supporting OSRA\u2019s new Physical AI Special Interest Group<\/a> \u2014 focused on real-time robot control, accelerated AI processing and better robotics tools for autonomous behavior.<\/p>\n

It\u2019s all part of efforts to make ROS 2 the open, high-performance framework of choice for real-world robotic applications.<\/p>\n

NVIDIA is contributing GPU-aware abstractions directly to ROS 2, enabling it to understand and efficiently manage different types of processors, from CPUs to integrated and discrete GPUs. This ensures consistent, high-speed performance and future-proofs the entire ROS ecosystem, allowing ROS to keep pace with rapid hardware innovation.<\/p>\n

To help developers optimize robot performance and reliability, NVIDIA is also open-sourcing Greenwave Monitor<\/a>, a tool that enables developers to quickly identify performance bottlenecks, accelerating robot development.<\/p>\n

In addition, NVIDIA announced that NVIDIA Isaac ROS 4.0<\/a> \u2014 a new collection of ROS-compatible, GPU-accelerated libraries and AI models \u2014 is now available on the NVIDIA Jetson Thor<\/a> platform for deploying physical AI and robotics. Developers can access and run Isaac CUDA-accelerated libraries, AI models and workflows for robot manipulation<\/a> and mobility<\/a>.<\/p>\n

Industry Leaders Tap NVIDIA AI, Accelerated Computing and Open-Source Technologies\u00a0<\/b><\/h2>\n

NVIDIA\u2019s open-source contributions are already empowering developers and partners across the globe to train, simulate and deploy the next generation of robots.<\/p>\n

AgileX Robotics is using NVIDIA Jetson modules to power AI autonomy and vision in its mobile robots, as well as tapping NVIDIA Isaac Sim<\/a>, an open-source, reference robotic simulation framework built on NVIDIA Omniverse, for simulation.<\/p>\n

\"\"<\/p>\n

Canonical<\/a> is simplifying robot development and offering a demo of a fully open observability stack for ROS 2 devices on Ubuntu, now available for the NVIDIA Jetson AGX Thor platform for robotics and edge computing.<\/p>\n

Ekumen Labs has integrated NVIDIA Isaac Sim into its robotics development workflows, enabling high-fidelity simulations for testing and validation of real systems, as well as photorealistic synthetic data generation.<\/p>\n

\"\"<\/p>\n

Intrinsic is integrating NVIDIA Isaac foundation models and Omniverse simulation tools into its Flowstate platform to enable advanced robot-grasping capabilities, real-time digital twin visualization and seamless AI-driven automation for industrial robotics.<\/p>\n

KABAM Robotics<\/a>\u2019 Matrix robot uses NVIDIA Jetson Orin and NVIDIA Triton Inference Server on ROS 2 Jazzy for advanced security and facility management in complex outdoor environments.<\/p>\n

At ROSCon, Open Navigation will showcase NVIDIA technologies, including NVIDIA Isaac Sim and NVIDIA SWAGGER<\/a>, during a keynote by Open Navigation founder Steve Macenski titled, \u201cOn Use Of Nav2 Route\u201d \u2014 demonstrating advanced route navigation for autonomous mobile robots.<\/p>\n<\/p>\n

Robotec.ai<\/a> and NVIDIA are collaborating on a new ROS simulation standard, now integrated in Isaac Sim, to streamline cross-simulator development and enable more robust, automated testing for robotics.<\/p>\n

ROBOTIS<\/a> uses NVIDIA Jetson for on-board computing and Isaac Sim for simulation and validation. Its AI Worker, powered by the Isaac GR00T N1.5 model, delivers greater autonomy and scalable edge AI.<\/p>\n

Stereolabs<\/a>\u2019 ZED cameras and ZED SKD deliver full compatibility with the NVIDIA Jetson Thor platform, supporting high-performance, multi-camera capture, low-latency perception and real-time spatial AI vision for general-purpose robotics.<\/p>\n

From core contributions to powerful simulation tools and production-ready hardware, NVIDIA is committed to providing the open-source community with the platform needed to build the future of physical AI.<\/p>\n

Learn more about the latest robotics advancements by joining <\/i>NVIDIA at ROSCon<\/i><\/a>.<\/i><\/p>\n<\/p><\/div>\n","protected":false},"excerpt":{"rendered":"

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