{"id":147367,"date":"2025-10-27T06:42:15","date_gmt":"2025-10-27T06:42:15","guid":{"rendered":"https:\/\/www.europesays.com\/ie\/147367\/"},"modified":"2025-10-27T06:42:15","modified_gmt":"2025-10-27T06:42:15","slug":"nvidia-contributes-to-open-frameworks-for-next-generation-robotics-development","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ie\/147367\/","title":{"rendered":"NVIDIA Contributes to Open Frameworks for Next-Generation Robotics Development"},"content":{"rendered":"<p>This year\u2019s <a target=\"_blank\" href=\"https:\/\/nam11.safelinks.protection.outlook.com\/?url=http%3A%2F%2Froscon.ros.org%2F2025&amp;data=05%7C02%7Cpfox%40nvidia.com%7Cca2b4a842a314d4a779908de12dc72b2%7C43083d15727340c1b7db39efd9ccc17a%7C0%7C0%7C638968935239025468%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata=DTMrbtG8%2BFyI1vrMaaWu%2Fo1Havas6fqO9lmqFm6Rw74%3D&amp;https:\/\/roscon.ros.org\/2025\/=0\" rel=\"nofollow noopener\">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<p>At the conference, running through Wednesday, Oct. 29, NVIDIA announced collaborations with partners and the <a target=\"_blank\" href=\"https:\/\/osralliance.org\/\" rel=\"nofollow noopener\">Open Source Robotics Alliance<\/a> (OSRA), as well as new robotics software to advance open standards and accelerate robotics development.<\/p>\n<p>NVIDIA is supporting OSRA\u2019s new <a target=\"_blank\" href=\"https:\/\/discourse.openrobotics.org\/t\/new-tgc-special-interest-group-on-physical-ai\/50002\" rel=\"nofollow noopener\">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<p>It\u2019s all part of efforts to make ROS 2 the open, high-performance framework of choice for real-world robotic applications.<\/p>\n<p>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<p>To help developers optimize robot performance and reliability, NVIDIA is also open-sourcing <a target=\"_blank\" href=\"https:\/\/github.com\/NVIDIA-ISAAC-ROS\/greenwave_monitor\" rel=\"nofollow noopener\">Greenwave Monitor<\/a>, a tool that enables developers to quickly identify performance bottlenecks, accelerating robot development.<\/p>\n<p>In addition, NVIDIA announced that <a target=\"_blank\" href=\"https:\/\/nvidia-isaac-ros.github.io\/v\/release-4.0\/index.html\" rel=\"nofollow noopener\">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 <a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/autonomous-machines\/embedded-systems\/jetson-thor\/\" rel=\"nofollow noopener\">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 <a target=\"_blank\" href=\"https:\/\/nvidia-isaac-ros.github.io\/reference_workflows\/isaac_for_manipulation\/index.html\" rel=\"nofollow noopener\">manipulation<\/a> and <a target=\"_blank\" href=\"https:\/\/nvidia-isaac-ros.github.io\/reference_workflows\/isaac_for_mobility\/index.html\" rel=\"nofollow noopener\">mobility<\/a>.<\/p>\n<p><b>Industry Leaders Tap NVIDIA AI, Accelerated Computing and Open-Source Technologies\u00a0<\/b><\/p>\n<p>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<p>AgileX Robotics is using NVIDIA Jetson modules to power AI autonomy and vision in its mobile robots, as well as tapping <a target=\"_blank\" href=\"https:\/\/developer.nvidia.com\/isaac\/sim\" rel=\"nofollow noopener\">NVIDIA Isaac Sim<\/a>, an open-source, reference robotic simulation framework built on NVIDIA Omniverse, for simulation.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-86268 size-nvb4-box-widget\" src=\"https:\/\/www.europesays.com\/ie\/wp-content\/uploads\/2025\/10\/roscon-robot-1-406x350.jpg\" alt=\"\" width=\"406\" height=\"350\"\/><\/p>\n<p><a target=\"_blank\" href=\"https:\/\/canonical.com\/blog\/roscon-2025\" rel=\"nofollow noopener\">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<p>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><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-medium wp-image-86271\" src=\"https:\/\/www.europesays.com\/ie\/wp-content\/uploads\/2025\/10\/roscon-visual-2-960x480.png\" alt=\"\" width=\"960\" height=\"480\"  \/><\/p>\n<p>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<p><a target=\"_blank\" href=\"https:\/\/kabam.ai\/advancing-security-robotics-at-roscon-2025-in-collaboration-with-nvidia\" rel=\"nofollow noopener\">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<p>At ROSCon, Open Navigation will showcase NVIDIA technologies, including NVIDIA Isaac Sim and <a target=\"_blank\" href=\"https:\/\/github.com\/nvidia-isaac\/SWAGGER\" rel=\"nofollow noopener\">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><a target=\"_blank\" href=\"https:\/\/www.robotec.ai\/blog\/robotics\/standardizing-simulation-interfaces-for-open-source-robotics\" rel=\"nofollow noopener\">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<p><a target=\"_blank\" href=\"https:\/\/ai.robotis.com\/ai_worker\/technical_story_ai_worker.html#%E2%96%B6%EF%B8%8F-full-demo\" rel=\"nofollow noopener\">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<p><a target=\"_blank\" href=\"https:\/\/www.stereolabs.com\/blog\/stereolabs-at-roscon-2025-in-singapore\" rel=\"nofollow noopener\">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<p>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<p>Learn more about the latest robotics advancements by joining <a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/events\/roscon\/\" rel=\"nofollow noopener\">NVIDIA at ROSCon<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"This year\u2019s ROSCon conference heads to Singapore, bringing together the global robotics developer community behind Robot Operating System&hellip;\n","protected":false},"author":2,"featured_media":147368,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[261],"tags":[291,289,290,18,19,17,82],"class_list":{"0":"post-147367","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-artificial-intelligence","8":"tag-ai","9":"tag-artificial-intelligence","10":"tag-artificialintelligence","11":"tag-eire","12":"tag-ie","13":"tag-ireland","14":"tag-technology"},"share_on_mastodon":{"url":"https:\/\/pubeurope.com\/@ie\/115444773505286231","error":""},"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/posts\/147367","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/comments?post=147367"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/posts\/147367\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/media\/147368"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/media?parent=147367"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/categories?post=147367"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/tags?post=147367"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}