NVIDIA has unveiled Halos for Robotics, a comprehensive safety system designed to enhance the safety of humanoid robots and physical AI operating in close proximity to humans.
NVIDIA, a leader in AI computing and robotics, has introduced Halos for Robotics, which it claims is the industry’s first full-stack safety system tailored for robots and physical AI. This innovative system aims to ensure that robots can safely operate alongside humans in various environments.
Physical AI refers to machines capable of sensing, deciding, and acting in real-world scenarios. Halos for Robotics integrates AI computing, safety software, sensor data, safety applications, and inspection processes to create a unified safety architecture. This approach is essential as robots increasingly enter workplaces where human workers are already present.
According to NVIDIA, Halos for Robotics is designed to connect the critical layers necessary for building, validating, and deploying robotic systems. This includes AI computing, system software, sensor data, safety applications, and inspection protocols. The goal is to embed safety considerations into the development process from the outset, addressing the challenges posed by dynamic work environments.
As robots begin to operate in settings such as warehouses, where human workers, equipment, and other robots coexist, the need for robust safety measures becomes paramount. A robot must be equipped with sensors to perceive its surroundings, AI computing capabilities to process this information, and safety software to manage its behavior in real time.
NVIDIA highlights that the Halos system benefits from over 18,600 engineering years of experience in autonomous vehicle safety development. This expertise is crucial, as both robots and autonomous vehicles face similar challenges in navigating environments populated by humans.
“Physical AI is transforming how factories, warehouses, and logistics operations function, and robotics teams require 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 leverage NVIDIA’s proven autonomous vehicle safety foundation to create safer robots more efficiently, allowing them to work alongside humans with greater confidence.”
The Halos for Robotics system encompasses several layers of safety. The NVIDIA IGX Thor and NVIDIA Holoscan Sensor Bridge provide industrial-grade AI computing, integrated safety features, and sensor connectivity for real-time robotics and safety tasks. Additionally, the NVIDIA Halos OS serves as the software stack for robotics safety, including Halos Core, which supports safety-related operating functions.
The system also features safety applications developed using the NVIDIA Halos Outside-In Safety Blueprint, which employs external cameras and AI agents to help robots adapt their behavior in industrial settings. Furthermore, the NVIDIA Halos AI Systems Inspection Lab is the first program accredited by the ANSI National Accreditation Board for physical AI functional and safety assessments. This lab assists partners in preparing Halos integrations for third-party certification from organizations such as TÜV Rheinland, UL Solutions, TÜV SÜD, exida, SGS, and CertX.
Agility Robotics is the first company to implement NVIDIA Halos for Robotics in its humanoid robot, Digit, which is designed for industrial tasks in logistics, manufacturing, and warehouse environments. Notable clients include Amazon, GXO, Schaeffler, and Toyota Motor Manufacturing Canada. Agility is collaborating with NVIDIA to integrate NVIDIA IGX Thor and Halos Core into Digit’s proprietary safe human detection system, enhancing its operational safety.
Agility will also engage with the NVIDIA Halos AI Systems Inspection Lab to ensure that Digit’s safety software, AI components, and cybersecurity measures comply with standards such as IEC 61508, ISO 13849, and ISO/IEC TR 5469 prior to final third-party certification.
“Safety must be integrated into the robot and validated across the entire system,” stated Peggy Johnson, CEO of Agility. “Partnering with NVIDIA to implement and optimize the Halos for Robotics system reinforces our commitment to responsible automation, which is essential for safely integrating humanoids into industrial workflows.”
NVIDIA’s Halos for Robotics ecosystem includes a wide range of partners across software, embedded systems, sensors, silicon, industrial applications, and certification bodies. Software partners such as Acontis, Amazon FreeRTOS, and QNX contribute to real-time operating environments and functional safety development. Embedded systems partners like Advantech and NexCobot provide safety-focused IGX-based systems for robotics applications.
Sensor and silicon partners include Infineon, NXP, SICK, STMicroelectronics, and Texas Instruments, while industrial application partners like FORT Robotics, Inventec, KION Group, and Neurealm are developing functional safety agents using the NVIDIA Halos Outside-In Safety Blueprint. Certification bodies, including TÜV Rheinland, are involved in assessing the functional safety certification readiness of NVIDIA IGX Thor, Halos OS, and Holoscan Sensor Bridge.
NVIDIA Halos Core for NVIDIA IGX is currently available in early access for registered developers, supporting both Linux and Linux plus QNX configurations. The open-source NVIDIA Halos Outside-In Safety Blueprint is also accessible in early access on GitHub, forming part of the Halos Applications layer of Halos OS.
This initiative is geared toward developers, robotics companies, and industrial operations aiming to integrate physical AI into real-world workplaces. As humanoid robots increasingly enter environments shared with humans, ensuring their safety is crucial. NVIDIA’s efforts to standardize robot safety measures before deploying humanoids in industrial settings could accelerate their adoption. However, it also raises important questions about the criteria for determining when a robot is deemed safe enough to work alongside humans.
The emphasis on certification is particularly noteworthy. NVIDIA’s focus on safety software, AI components, and cybersecurity protections prior to third-party certification highlights the importance of addressing these concerns early in the development process. As humanoid robots transition from impressive demonstrations to practical applications in workplaces, workers will want assurances regarding how these robots perceive their environment, respond to sudden movements, and handle emergencies.
NVIDIA’s proactive approach underscores the necessity of embedding safety into the entire robotic system from the beginning. Agility’s implementation of Halos for Robotics exemplifies the direction of the industry, emphasizing the importance of certification readiness. As the dialogue around robot safety evolves, it is vital for companies to provide transparent information about their safety measures before introducing robots into human environments.
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