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Inside NVIDIA Halos for Robotics: A Full-Stack Functional Safety System for Physical AI
NVIDIA Developer BlogSuhas Hariharapura Sheshadri
Summary
NVIDIA announced the launch of NVIDIA Halos for Robotics, a full-stack functional safety system designed for industrial robots, humanoids, and autonomous mobile robots. The platform extends NVIDIA's functional safety architecture from autonomous vehicles into robotics, utilizing NVIDIA IGX Thor and the NVIDIA Holoscan Sensor Bridge as its hardware foundation. On top of this hardware, Halos OS provides the base Halos Core safety operating system and application blueprints, including an Outside-In Safety Blueprint that leverages external worksite cameras and safety decision modules. Platform hardware safety features include an isolated IEC 61508 SIL 3 capable Safety Island alongside extensive fault-detection mechanisms. To accelerate compliance, the accredited NVIDIA Halos AI Systems Inspection Lab assesses partner integrations before final third-party certification.
Context
Traditional safety mechanisms built for structured environments are insufficient as autonomous robots leave cages to operate alongside people in unstructured industrial spaces.
Approach / What changed
NVIDIA extended its autonomous vehicle functional safety stack into robotics by combining NVIDIA IGX Thor compute modules, Holoscan Sensor Bridge, Halos OS, and the accredited Halos AI Systems Inspection Lab.
Takeaways
- NVIDIA IGX Thor delivers up to 2,070 FP4 TFLOPs of AI compute alongside an IEC 61508 SIL 3 capable isolated Functional Safety Island.
- The Outside-In Safety Blueprint utilizes worksite cameras and Safety Decision Modules to dynamically mute or activate robot safety systems based on human presence.
- The NVIDIA Halos AI Systems Inspection Lab operates as an ANAB-accredited ISO/IEC 17020 Inspection Body to streamline third-party safety certification.
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