FORT Robotics Extends Physical AI Safety Platform with Nvidia Halos

Robotics & Automation News· July 11, 2026

FORT Robotics has announced its integration into the Nvidia Halos for Robotics ecosystem to enhance safety for autonomous mobile systems. By utilizing the Nvidia Halos Outside-In Safety Blueprint, the collaboration aims to provide real-time, safety-certifiable functional safety that extends beyond a robot's onboard sensors. This development is significant for the Robotics & Automation sector as it addresses the limitations of traditional safety systems in dynamic environments like warehouses and factories, potentially unlocking higher operational throughput and productivity.

FORT Robotics is leveraging the Nvidia Halos Outside-In Safety Blueprint to create agentic safety applications that utilize external infrastructure sensors and visual AI agents. This approach, which integrates with the FORT Trust Layer, allows robots to perceive their surroundings through building-mounted cameras and other external hardware rather than relying solely on onboard sensors. The solution is powered by Nvidia IGX Thor and Nvidia Holoscan Sensor Bridge for AI compute and sensor connectivity, enabling autonomous systems to operate at high efficiency while dynamically adapting to complex, human-centric environments.

The partnership addresses a critical bottleneck in industrial automation where traditional safety systems, designed for predictable machines in bounded settings, often lead to costly robot slowdowns in changing environments. By implementing "Outside-In Safety," companies can automatically modulate robot efficiency, reducing interruptions and optimizing the balance between safety and productivity. This framework is particularly relevant for tasks such as trailer truck unloading, inventory replenishment, and product assembly, where robots must operate alongside human workers in mixed environments.

Beyond hardware integration, FORT is a member of the Nvidia Halos AI Systems Inspection Lab, the first ANAB-accredited facility dedicated to physical AI and autonomous systems. This lab provides a unified framework for verifying functional safety, cybersecurity, and AI compliance, ensuring that industrial-scale deployments meet rigorous standards. Samuel Reeves, CEO of FORT, emphasized that intelligent safety is the precondition for scaling robotics, noting that agentic robots capable of real-time environmental understanding are essential for the industry to move forward.

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