{"id":489980,"date":"2026-06-22T14:30:08","date_gmt":"2026-06-22T14:30:08","guid":{"rendered":"https:\/\/www.newsbeep.com\/nz\/489980\/"},"modified":"2026-06-22T14:30:08","modified_gmt":"2026-06-22T14:30:08","slug":"nvidia-announces-halos-for-robotics-the-industrys-first-full-stack-safety-system-for-physical-ai","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/nz\/489980\/","title":{"rendered":"NVIDIA Announces Halos for Robotics, the Industry\u2019s First Full-Stack Safety System for Physical AI"},"content":{"rendered":"<p>News Summary:<\/p>\n<p>&#13;<br \/>\n\tNVIDIA Halos for Robotics is the industry\u2019s only full-stack, open robotics safety system, extending NVIDIA Halos\u2019 proven autonomous vehicle safety to robotics and physical AI to give machines that sense, decide and act in the real world a single common safety architecture.&#13;<br \/>\n\tSafety is built in every layer, with NVIDIA IGX Thor and Holoscan Sensor Bridge for AI compute and sensor connectivity, the Halos OS software stack for safety functions and applications, and the NVIDIA Halos AI Systems Inspection Lab to help partners prepare for third-party certification with confidence.&#13;<br \/>\n\tHumanoid robotics and physical AI innovator Agility is the first company to team with NVIDIA to incorporate elements of Halos for Robotics into its proprietary safety system, bringing a new standard of responsible automation to factories, warehouses and logistics operations.&#13;<\/p>\n<p>NVIDIA today announced <a href=\"https:\/\/www.nvidia.com\/en-us\/ai-trust-center\/halos\/robotics\/\" rel=\"nofollow noopener\" target=\"_blank\" title=\"\">NVIDIA Halos for Robotics<\/a>, the industry\u2019s first full-stack, comprehensive safety system for <a href=\"https:\/\/www.nvidia.com\/en-us\/industries\/robotics\/\" rel=\"nofollow noopener\" target=\"_blank\" title=\"\">robotics<\/a> and <a href=\"https:\/\/www.nvidia.com\/en-us\/glossary\/generative-physical-ai\/\" rel=\"nofollow noopener\" target=\"_blank\" title=\"\">physical AI<\/a> that unifies AI compute and safety.<\/p>\n<p><a href=\"http:\/\/www.agilityrobotics.com\/content\/built-for-the-real-world\" rel=\"nofollow noopener\" target=\"_blank\" title=\"\">Agility<\/a>, a leading humanoid robotics and physical AI company, is the first to use NVIDIA Halos for Robotics to build safety into its humanoids working in factories, warehouses and logistics operations for customers including Amazon, GXO, Schaeffler and Toyota Motor Manufacturing Canada.<\/p>\n<p>The next generation of autonomous robots will operate in dynamic environments alongside humans, using AI foundation models, accelerated compute and distributed sensors. Scaling these systems requires a full-stack safety architecture.<\/p>\n<p>NVIDIA Halos enables companies to rely on a standardized, unified safety architecture that connects AI compute, system software, sensor data, safety applications and inspection for robotic systems.<\/p>\n<p>\u201cPhysical AI is transforming how factories, warehouses and logistics operations work, and robotics teams need a unified safety architecture to scale autonomous systems into these environments,\u201d said Deepu Talla, vice president of robotics and edge AI at NVIDIA. \u201cWith NVIDIA Halos for Robotics, developers and system builders can harness NVIDIA\u2019s proven autonomous vehicle safety foundation to develop safer robots faster and bring them into industrial operations alongside workers with greater confidence.\u201d<\/p>\n<p>A Full-Stack Foundation for Robot Safety<br \/>&#13;<br \/>\nDrawing on 18,600+ engineering years of <a href=\"https:\/\/www.nvidia.com\/en-us\/ai-trust-center\/halos\/autonomous-vehicles\/\" rel=\"nofollow noopener\" target=\"_blank\" title=\"\">autonomous vehicle safety development<\/a>, NVIDIA Halos for Robotics provides developers with a common safety architecture for building, validating and deploying physical AI systems.<\/p>\n<p>The system spans the key layers needed for robot safety:<\/p>\n<p>&#13;<br \/>\n\tNVIDIA IGX Thor\u2122 and NVIDIA Holoscan Sensor Bridge provide industrial-grade AI compute, built-in safety and sensor connectivity for real-time robotics and safety workloads.&#13;<br \/>\n\tNVIDIA Halos OS provides the software stack for robotics safety, including Halos Core to support safety-related operating functions and safety applications built with the NVIDIA Halos Outside-In Safety Blueprint, which extends robot perception using external cameras and AI agents to dynamically control robot behavior in industrial settings.&#13;<br \/>\n\tThe NVIDIA Halos AI Systems Inspection Lab is the world\u2019s first ANSI National Accreditation Board (ANAB)-accredited program for functional and AI safety for physical AI, helping partners prepare Halos integrations for third-party certification by leading certification bodies including TU\u0308V Rheinland, UL Solutions, TU\u0308V SU\u0308D, exida, SGS and CertX.&#13;<\/p>\n<p>\u201cAs AI-enabled robotics moves into industrial environments, the industry needs standardized, internationally recognized frameworks to assess safety across increasingly complex systems,\u201d said Laurie E. Locascio, president and CEO of ANSI. \u201cANAB\u2019s accreditation of the NVIDIA Halos AI Systems Inspection Lab confirms the program has the competence and impartiality to evaluate robotic AI systems against recognized safety requirements, giving companies a rigorous and internationally recognized foundation for their path to certification.\u201d<\/p>\n<p>Agility Incorporates Halos for Industrial Humanoids<br \/>&#13;<br \/>\nHumanoid robots are designed to operate in dynamic environments alongside workers, equipment and other robots that are constantly in motion. That requires safety engineered for every layer of the stack.<\/p>\n<p>Agility is extending its leadership in humanoid safety by teaming with NVIDIA to integrate NVIDIA IGX Thor and Halos Core into its proprietary safe human detection system for its humanoid robot Digit, which is designed for industrial work in logistics, manufacturing and warehouse operations. For Digit, NVIDIA IGX Thor delivers industrial-grade AI compute with built-in safety capabilities, while Halos Core supports the software layer for safety-related operating functions.<\/p>\n<p>Agility will also participate in the <a href=\"https:\/\/www.nvidia.com\/en-us\/ai-trust-center\/physical-ai\/safety-certification\/\" rel=\"nofollow noopener\" target=\"_blank\" title=\"\">NVIDIA Halos AI Systems Inspection Lab<\/a>. Together, Agility and NVIDIA will use the lab to ensure Digit\u2019s safety-related software, AI components and cybersecurity protections meet rigorous standards such as IEC 61508, ISO 13849 and ISO\/IEC TR 5469 before final third-party certification.<\/p>\n<p>\u201cFor humanoids to deliver value at scale, safety has to be built into the robot and validated across the entire system,\u201d said Peggy Johnson, CEO of Agility. \u201cPartnering with NVIDIA to implement and optimize the Halos for Robotics system extends our leadership in responsible automation, which is a nonnegotiable requirement for bringing humanoids safely into industrial workflows. This collaboration unlocks true human-robot teamwork, driving the long-term returns that will power next-generation manufacturing and logistics operations.\u201d<\/p>\n<p>A Robotics Safety Ecosystem Built for Scale<br \/>&#13;<br \/>\nThe NVIDIA Halos for Robotics ecosystem brings together partners across software, systems, sensors and silicon, industrial applications and certification bodies to support safety from development through deployment:<\/p>\n<p>&#13;<br \/>\n\tSoftware: Acontis, FreeRTOS and QNX support the real-time operating environment, safety communications and embedded software layers needed for functional safety development.&#13;<br \/>\n\tEmbedded systems: Advantech and <a href=\"https:\/\/www.nexcobot.com\/en\/product\/embedded-automation-system\/nvidia-jetson-ai-robotic-pc\/rcb400-t20-05\" rel=\"nofollow noopener\" target=\"_blank\" title=\"\">NexCobot<\/a> deliver safety-designed NVIDIA IGX-based systems for robotics deployments.&#13;<br \/>\n\tSensors and silicon: Infineon, NXP Semiconductor, STMicroelectronics and Texas Instruments contribute sensor, safety microcontroller and other semiconductor technologies.&#13;<br \/>\n\tIndustrial applications: FORT Robotics, Inventec, KION Group, Lyte AI and Neurealm are developing functional safety agents using the NVIDIA Halos Outside-In Safety Blueprint.&#13;<br \/>\n\tAssessment Agencies: T\u00dcV Rheinland is inspecting NVIDIA IGX Thor, Halos OS and Holoscan Sensor Bridge for functional safety certification readiness, building on T\u00dcV S\u00dcD\u2019s inspection of Thor SoC and Halos Core for ISO 26262.&#13;<\/p>\n<p>The NVIDIA Halos AI Systems Inspection Lab includes more than 40 companies across manufacturers, certification bodies and safety vendors working to move safe physical AI systems from design to real-world deployment. T\u00dcV Rheinland, TU\u0308V SU\u0308D, UL Solutions, exida, SGS and CertX all recognize the NVIDIA Halos AI Systems Inspection Lab as part of their certification process.<\/p>\n<p>Availability<br \/>&#13;<br \/>\nNVIDIA Halos Core for NVIDIA IGX\u2122 is available in early access for registered developers in Linux and Linux plus QNX OS for Safety 8.0 configurations. The open source NVIDIA Halos Outside-In Safety Blueprint, part of the Halos Applications layer of Halos OS, is now available in early access on <a href=\"https:\/\/github.com\/NVIDIA\/halos-outside-in-safety\" rel=\"nofollow noopener\" target=\"_blank\" title=\"\">GitHub<\/a>.<\/p>\n<p>Learn more about NVIDIA Halos for Robotics in this <a href=\"https:\/\/developer.nvidia.com\/blog\/inside-nvidia-halos-for-robotics-a-full-stack-functional-safety-system-for-physical-ai\/\" rel=\"nofollow noopener\" target=\"_blank\" title=\"\">technical blog<\/a> and <a href=\"https:\/\/www.nvidia.com\/en-us\/ai-trust-center\/halos\/robotics\/\" rel=\"nofollow noopener\" target=\"_blank\" title=\"\">webpage<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"News Summary: &#13; NVIDIA Halos for Robotics is the industry\u2019s only full-stack, open robotics safety system, extending NVIDIA&hellip;\n","protected":false},"author":2,"featured_media":489981,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[365,363,364,111,139,69,145],"class_list":["post-489980","post","type-post","status-publish","format-standard","has-post-thumbnail","category-artificial-intelligence","tag-ai","tag-artificial-intelligence","tag-artificialintelligence","tag-new-zealand","tag-newzealand","tag-nz","tag-technology"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/posts\/489980","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/comments?post=489980"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/posts\/489980\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/media\/489981"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/media?parent=489980"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/categories?post=489980"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/tags?post=489980"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}