NVIDIA, a company known for AI computing and robotics systems, has introduced NVIDIA Halos for Robotics. The company calls it the industry’s first full-stack, comprehensive safety system for robotics and physical AI.
Physical AI refers to machines that can sense, decide and act in the real world. NVIDIA says Halos brings together , sensor data, safety applications and inspection. The goal is to give robots a common safety architecture before they work near people.
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NVIDIA Halos for Robotics is a safety system for robots and physical AI. NVIDIA says it connects the key layers needed to build, validate and deploy robotic systems.
That includes AI compute, system software, sensor data, safety applications and inspection. In other words, NVIDIA wants robot makers to build safety into the stack from the beginning. That approach becomes important as robots start operating in places where people are already working.
NVIDIA says the system draws on more than 18,600 engineering years of autonomous development. That background is important because robots and autonomous vehicles face a related challenge. Both need to sense what is happening around them, make decisions quickly and operate more safely around people.
The next generation of autonomous robots will operate in dynamic environments. A warehouse floor may have workers walking nearby, equipment moving through shared spaces and other . That creates a tough safety challenge.
A robot needs sensors to understand what is happening around it. Then it needs AI compute to process that information. After that, it needs safety software that can help control behavior in real time.
NVIDIA says Halos gives robotics companies a standardized safety architecture that connects the main safety layers instead of leaving each part to operate separately.
“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.”
NVIDIA Halos for Robotics spans several layers of 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. That includes Halos Core, which supports safety-related operating functions. The system also includes safety applications built with the NVIDIA Halos Outside-In Safety Blueprint. That blueprint uses external cameras and AI agents to help robots adjust behavior in industrial settings.
Then there is the NVIDIA Halos AI Systems Inspection Lab. NVIDIA describes it as the world’s first ANSI National Accreditation Board-accredited program for physical AI functional and AI safety. The lab helps partners prepare Halos integrations for third-party certification from groups including TÃV Rheinland, UL Solutions, TÃV SÃD, exida, SGS and CertX.
Agility is the first company to use NVIDIA Halos for Robotics. Its is designed for industrial work in logistics, manufacturing and warehouse settings. Customers include Amazon, GXO, Schaeffler and Toyota Motor Manufacturing Canada. Agility is working with NVIDIA to integrate NVIDIA IGX Thor and Halos Core into Digit’s proprietary safe human detection system. NVIDIA IGX Thor provides industrial-grade AI compute with built-in safety capabilities, while Halos Core supports safety-related operating functions.
The robotics company will also participate in the NVIDIA Halos AI Systems Inspection Lab. Togethe
