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FORT Robotics and NVIDIA launch an AI safety system that lets robots work faster around people by using building cameras and external sensors instead of relying only on onboard sensors.

The Robot Report9h ago3 min read
FORT Robotics and NVIDIA launch an AI safety system that lets robots work faster around people by using building cameras and external sensors instead of relying only on onboard sensors.

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3 Key Points

  • What happened

    FORT Robotics joined NVIDIA's Halos for Robotics ecosystem and introduced an "Outside-In Safety" solution that uses external infrastructure sensors and visual AI agents to control robot behavior in real time. The system combines NVIDIA's Outside-In Safety Blueprint with FORT's Trust Layer and will be demonstrated this week at the Automate conference in Chicago, with a joint presentation at the Humanoid Robotics Pavilion on June 23rd.

  • Why it matters

    Traditional robot safety systems rely only on onboard sensors and operate conservatively, which slows down productivity. This system automatically adjusts robot speed based on what external cameras see, allowing robots to work at higher efficiency while staying safe around workers. This means warehouses and manufacturers can reuse existing building-mounted cameras to get faster inventory and truck operations without sacrificing safety.

  • What to watch

    The system uses NVIDIA IGX Thor and NVIDIA Holoscan Sensor Bridge for computing power and sensor connectivity. FORT is accredited through NVIDIA's Halos AI Systems Inspection Lab (an ANSI National Accreditation Board-accredited lab) to verify functional safety, cybersecurity, and AI compliance for autonomous systems at industrial scale.

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