NVIDIA launches Halos for Robotics, the industry's first full-stack safety system for physical AI

NVIDIA Announces Halos for Robotics, the Industry's First Full-Stack Safety System for Physical AI

* NVIDIA Halos for Robotics is the industry's only full-stack, open robotics safety system, extending NVIDIA Halos' 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. * Safety 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. * Humanoid 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. NVIDIA today announced NVIDIA Halos for Robotics, the industry's first full-stack, comprehensive safety system for robotics and physical AI that unifies AI compute and safety. Agility, 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. 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. 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. "Physical 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," said Deepu Talla, vice president of robotics and edge AI at NVIDIA. "With NVIDIA Halos for Robotics, developers and system builders can harness NVIDIA's proven autonomous vehicle safety foundation to develop safer robots faster and bring them into industrial operations alongside workers with greater confidence." A Full-Stack Foundation for Robot Safety Drawing on 18,600+ engineering years of autonomous vehicle safety development, NVIDIA Halos for Robotics provides developers with a common safety architecture for building, validating and deploying physical AI systems. The system spans the key layers needed for robot safety: * NVIDIA IGX Thor™ and NVIDIA Holoscan Sensor Bridge provide industrial-grade AI compute, built-in safety and sensor connectivity for real-time robotics and safety workloads. * NVIDIA 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. * The NVIDIA Halos AI Systems Inspection Lab is the world's 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 TÜV Rheinland, UL Solutions, TÜV SÜD, exida, SGS and CertX. "As AI-enabled robotics moves into industrial environments, the industry needs standardized, internationally recognized frameworks to assess safety across increasingly complex systems," said Laurie E. Locascio, president and CEO of ANSI. "ANAB's 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." Agility Incorporates Halos for Industrial Humanoids Humanoid 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. 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. Agility will also participate in the NVIDIA Halos AI Systems Inspection Lab. Together, Agility and NVIDIA will use the lab to ensure Digit's 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. "For humanoids to deliver value at scale, safety has to be built into the robot and validated across the entire system," said Peggy Johnson, CEO of Agility. "Partnering 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." A Robotics Safety Ecosystem Built for Scale The 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: * Software: Acontis, FreeRTOS and QNX support the real-time operating environment, safety communications and embedded software layers needed for functional safety development. * Embedded systems: Advantech and NexCobot deliver safety-designed NVIDIA IGX-based systems for robotics deployments. * Sensors and silicon: Infineon, NXP Semiconductor, STMicroelectronics and Texas Instruments contribute sensor, safety microcontroller and other semiconductor technologies. * Industrial applications: FORT Robotics, Inventec, KION Group, Lyte AI and Neurealm are developing functional safety agents using the NVIDIA Halos Outside-In Safety Blueprint. * Assessment Agencies: TÜV Rheinland is inspecting NVIDIA IGX Thor, Halos OS and Holoscan Sensor Bridge for functional safety certification readiness, building on TÜV SÜD's inspection of Thor SoC and Halos Core for ISO 26262. 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. TÜV Rheinland, TÜV SÜD, UL Solutions, exida, SGS and CertX all recognize the NVIDIA Halos AI Systems Inspection Lab as part of their certification process. Availability NVIDIA Halos Core for NVIDIA IGX™ 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 GitHub. Learn more about NVIDIA Halos for Robotics in this technical blog and webpage.

Nvidia introduces Halos for Robotics to bridge the physical AI safety gap

Nvidia introduces Halos for Robotics to bridge the physical AI safety gap Nivida Corp. today announced Halos for Robotics, the industry's first full framework for robotic safety systems that encompasses building, testing and managing complete artificial intelligence robotics applications. Automation has been part of industrial and manufacturing environments for decades, but for much of that time, robots have operated within rigid rules, rails and repeatable workflows. That is beginning to change as more intelligent systems emerge that can move through dynamic spaces, make decisions and work more directly alongside humans. The promise is a new class of robotic teammate that can take on more complex work with greater autonomy. But the challenge is that the closer these systems get to people, the higher the safety bar becomes. That leaves companies with a central question: How do they scale intelligent robotics without putting human workers at greater risk? Agility Robotics Inc., a leading humanoid robotics and physical AI company, became the first to use Nvidia Halos to build safety into its robots working in factories and warehouses for customers including Amazon.com Inc., GXO, Schaeffler and Toyota Motor Manufacturing Canada. "For humanoids to deliver value at scale, safety has to be built into the robot and validated across the entire system," said Agility Chief Executive Peggy Johnson. "The Halos for Robotics system extends our leadership in responsible automation, which is a nonnegotiable requirement for bringing humanoids safely into industrial workflows." The new system spans a few key layers needed for robot safety. It brings the IGX Thor and Holoscan Sensor bridge to aid with industrial-grade AI compute building in safety and sensor connectivity for real-time robotics. Halos OS provides safety software support under the hood and includes Halos Core to support safety-related operating functions and safety applications (pluggable blueprints to extend robot perception using external cameras and AI agents to adjust robot behavior). Halos AI Systems Inspection Lab, the world's first American National Standards Institute National Accreditation Board for physical AI and AI safety. It will help partners prepare for Halos integration and third-party certifications by leading safety bodies including TÜV Rheinland, UL Solutions, TÜV SÜD, Exida, SGS and CertX. As AI disrupts robots, safety cannot be dismissed Throughout 2025, robotics and AI were still coming together. Humanoids make the best headlines, but physical AI represents a broad tapestry of smart machines. Advanced hardware that can connect AI models to the real world through video, audio and sensor arrays, enabling intelligence to control everything from autonomous pallet jacks to robotic arms, automatic doors to air conditioning. The tangible effect of this is that these systems are coming closer to humans, from autonomous cars to robots in retail and domestic spaces. A year ago, "robots need safety" was a caveat in conversations about commercial momentum as these form factors came to the factory floor. In 2025, many of these designs were pilots, being battle-tested on assembly lines and scaled to operate in working conditions. This year, robots-as-a-service agreements brought humanoids such as Agility's Digit out of pilots and into facilities such as Toyota Motor Manufacturing Canada's Woodstock facility in Ontario, putting them in manufacturing supply chains. Now Nvidia is operating in those conditions to formulate the standards, cybersecurity and safety-related software to meet the rigorous needs to future-proof the road ahead. This includes systems such as safe human detection, avoidance, slowing and freezing when necessary to prevent actuators that move with force from inflicting injury. A report from Deloitte Touche Tohmatsu Ltd. noted that one of the roadblocks holding back broad adoption of physical AI has been safety. AI-powered machines offer great opportunities on one hand, but they also present tremendous risks: They can behave unpredictably even after extensive safety testing. To deploy them safely in public, or even industrial environments, they must integrate comprehensive safety strategies, regulatory compliance and risk assessments. Policymakers still have yet to converge on safety standards to govern this emerging trend. The European Union Machinery Regulation of 2027 is the closest, coming into effect on Jan. 20, 2027. For the first time, it will require conformity for machines with "self-evolving behavior," which could capture any machine running on an AI foundation model. However, the regulation doesn't clearly define its requirements and doesn't describe how to certify systems that trigger its regulatory flavor; it also interacts closely with the EU AI Act. Nvidia is positioning Halos as the next "Intel Inside" for AI safety as more robots flow into everyday environments. The certification is a platform play, a sticker that vendors and distributors can slap onto a chassis showing that the software and wiring have been vetted.

Nvidia to Offer Safety System for Robotics, Physical AI

Nvidia is extending its safety system for autonomous vehicles to encompass robotics and physical artificial intelligence. The chipmaker on Monday unveiled Halos for Robotics, which aims to boost safety as autonomous robots scale up, allowing companies to rely on a standardized, unified safety system that connects AI compute, system software, sensor data, safety applications and inspection. "Physical 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," said Deepu Talla, vice president of robotics and edge AI at Nvidia. Agility, a humanoid robotics and physical AI company, is the first to use the Halos for Robotics system, Nvidia said. Agility will use the system for its humanoids used in factories, warehouses and logistics operations for customers including Amazon, GXO, Schaeffler and Toyota Motor Manufacturing Canada. Nvidia said Halos Core for its IGX platform is available in early access for registered developers in Linux and Linux plus QNX OS for Safety 8.0 configurations. An open source Nvidia Halos Outside-In Safety Blueprint is now available in early access on GitHub, the company said. Nvidia also separately on Monday disclosed that 35 of its AI HPC supercomputers are in development across Europe, representing the region's largest one-year expansion of supercomputers. The supercomputer buildout spans national supercomputing centers, AI factories and academic research institutions, and will support research across climate science, healthcare, clean-energy decarbonization, quantum computing and fundamental science, Nvidia said.