NVIDIA Halos for Robotics brings AI compute, system software, sensor data, safety applications and inspection into a unified safety architecture for robotics and physical AI systems in industrial environments. Agility is the first company to use the system, applying it to humanoid robots for factories, warehouses and logistics operations, including deployments for customers such as Amazon, GXO, Schaeffler and Toyota Motor Manufacturing Canada.
“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.”
Full-Stack Foundation for Robot Safety
NVIDIA Halos for Robotics draws on more than 18,600 engineering years of autonomous vehicle safety development. The solution gives developers a common safety architecture for building, validating and deploying physical AI systems.
The system covers the core layers required 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 for safety-related operating functions. It also supports 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.
- NVIDIA describes the NVIDIA Halos AI Systems Inspection Lab as the world’s first ANSI National Accreditation Board-accredited program for functional and AI safety for physical AI. The lab helps partners prepare Halos integrations for third-party certification by 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 Integrates Halos for Industrial Humanoids
Agility is working with NVIDIA to integrate NVIDIA IGX Thor and Halos Core into its proprietary safe human detection system for Digit, its humanoid robot designed for industrial work in logistics, manufacturing and warehouse operations. For Digit, NVIDIA IGX Thor provides 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. Agility and NVIDIA will use the lab to evaluate Digit’s safety-related software, AI components and cybersecurity protections against standards including 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 non-negotiable 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.”
Robotics Safety Ecosystem
The NVIDIA Halos for Robotics ecosystem includes partners across software, systems, sensors and silicon, industrial applications and certification bodies.
- Software: Acontis, FreeRTOS and QNX support the 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 Semiconductors, 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 working to move physical AI systems from design to deployment. TÜV Rheinland, TÜV SÜD, UL Solutions, exida, SGS and CertX recognize the NVIDIA Halos AI Systems Inspection Lab as part of their certification process.
Availability
NVIDIA Halos Core for NVIDIA IGX is available for 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 available on GitHub.
Source: NVIDIA
About NVIDIA
NVIDIA, founded in 1993 and headquartered in Santa Clara, CA, designs and manufactures graphics processing units, systems on chips, networking hardware, and AI intelligence software such as CUDA. Its products serve industries including gaming, data centers, autonomous vehicles, professional visualization, robotics, health care, and energy. The company introduced the GPU in 1999 and later expanded into accelerated computing and AI infrastructure. In gaming, its GPUs support high-performance rendering, while in AI and high-performance computing, its systems provide the infrastructure for training and deploying large-scale models. NVIDIA also develops tools for robotics and autonomous driving.