Nvidia is expanding its safety technology beyond autonomous vehicles and into the rapidly growing fields of robotics and physical artificial intelligence, introducing a new platform designed to improve the safety and reliability of autonomous machines.
The company on Monday unveiled Halos for Robotics, a unified safety system that combines AI computing, software, sensor data, safety applications, and inspection tools into a single architecture. The platform is intended to help robotics developers safely scale autonomous systems in industrial environments such as factories, warehouses, and logistics centers.
Building a Safety Foundation for Physical AI
According to Deepu Talla, vice president of robotics and edge AI at Nvidia, the rise of physical AI is transforming industrial operations and creating the need for a standardized safety framework.
“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,” Talla said.
The Halos platform aims to provide developers with a comprehensive safety approach that addresses both hardware and software challenges as autonomous robots become increasingly common in real-world environments.
Agility Robotics Becomes First Adopter
Agility RoboticsAgility Robotics is the first company to deploy Halos for Robotics. The firm plans to integrate the safety system into its humanoid robots used in industrial and logistics settings.
Agility’s customers include major companies such as AmazonAmazon, GXO LogisticsGXO Logistics, SchaefflerSchaeffler, and Toyota Motor Manufacturing CanadaToyota Motor Manufacturing Canada.
Developer Tools and Open-Source Safety Framework
Nvidia also announced that Halos Core for its IGX platform is now available in early access for registered developers using Linux and Linux with QNX OS for Safety 8.0 configurations.
Additionally, the company released the Halos Outside-In Safety Blueprint as an open-source project on GitHub, giving developers access to reference tools and frameworks for building safer autonomous robotic systems.
Europe Sees Major AI Supercomputer Expansion
Separately, Nvidia disclosed that 35 AI high-performance computing (HPC) supercomputers are currently under development across Europe, representing the region’s largest annual expansion of AI supercomputing infrastructure.
The projects involve national supercomputing centers, AI factories, and academic institutions and are expected to support research in several critical fields, including:
- Climate science
- Healthcare
- Clean-energy decarbonization
- Quantum computing
- Fundamental scientific research
A Growing Role in Physical AI
Nvidia’s latest announcements highlight its expanding role beyond AI chips and data centers. By combining robotics safety systems with large-scale AI computing infrastructure, the company is positioning itself at the center of both digital and physical AI development.
As autonomous robots become increasingly common in industrial environments, safety and reliability are expected to become key priorities, making platforms such as Halos for Robotics an important component of the next generation of intelligent machines.
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