NVIDIA today announced NVIDIA Halos for Robotics, what is said to be the industry’s first full-stack, comprehensive safety system for robotics and physical AI that unifies AI compute and safety.
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,” says Deepu Talla, VP, 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.”
Key takeaways:
· Drawing on 18,600-plus 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.
- 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.
