FORT Robotics Expands Physical AI Safety with NVIDIA Collaboration

Enhancing Safety in Physical AI with NVIDIA

In a significant advancement for the realm of physical artificial intelligence, FORT Robotics has announced its collaboration with NVIDIA as part of the NVIDIA Halos for Robotics ecosystem. This initiative aims to redefine safety protocols for autonomous robots, further securing environments where human-animal interaction is becoming increasingly common.

Set to showcase their groundbreaking solution at the Automate conference in Chicago, FORT Robotics will introduce an agentic safety application, constructed utilizing the open-source NVIDIA Halos Outside-In Safety Blueprint, slated for presentation in the Humanoid Robotics Pavilion on June 23rd. This collaboration builds on FORT Robotics' established reputation as a leader in ensuring operational safety and efficiency in robotic systems.

What is Outside-In Safety?

The Outside-In Safety framework expansively widens the scope of robot perception beyond traditional onboard sensors. By incorporating external infrastructure sensors synced with visual AI agents, robots can now achieve real-time, safety-certified functional safety. This system is designed to significantly enhance operational throughput, letting robots adapt dynamically to complex and ever-changing environments.

Leveraging advanced technologies such as NVIDIA's IGX Thor and Holoscan Sensor Bridge for effective AI computation and sensor connectivity, this cutting-edge safety solution empowers robots to operate effectively alongside human workers while adapting to fluctuating surroundings. This starkly contrasts with conventional inside-out safety systems that primarily rely on onboard sensors and often constrain operations due to safety limitations.

Boosting Efficiency and Worker Safety

The evolution of workspaces, especially those characterized by constant change, calls for innovative safety solutions capable of addressing the unpredictable nature of modern operations. Traditional safety mechanisms were traditionally tailored for static, predictable settings, making them ill-equipped for the dynamic nature of mobile robotics.

By deploying Outside-In Safety, FORT Robotics aims to automate robot efficiency adjustments amid varying environmental factors. This not only reduces costly operational slowdowns but also enhances worker safety by preemptively managing risk and preventing accidents in mixed human-robot environments.

As industries increasingly adopt autonomous robotics and physical AI technologies, it becomes paramount to establish safety frameworks that can readily adapt to the integration of human and robotic workers. The proactive situational awareness inherent in Outside-In Safety will help mitigate workplace hazards in real-time, addressing a crucial aspect of operational safety across multiple sectors.

Maximizing ROI with Advanced Solutions

For enterprises in warehousing, manufacturing, and other automated industries, the adoption of NVIDIA's Halos Outside-In Safety Blueprint holds immense potential for unlocking operational efficiencies. By incorporating cameras and sensors already present in facilities, businesses can achieve significant cost savings and improved process optimization.

Key processes such as inventory replenishment, product assembly, and trailer truck unloading will see substantial enhancements with real-time data inputs, allowing organizations to maximize throughput while maintaining safety.

A Robust Robotics Safety Ecosystem

FORT Robotics is proud to be part of the NVIDIA Halos AI Systems Inspection Lab, recognized as the first ANSI National Accreditation Board (ANAB)-accredited inspection lab focusing on physical AI and autonomous systems. This cooperation underlines FORT's efforts to build a reliable ecosystem that assures compliance with functional safety standards, cybersecurity, and AI accountability for robotics, autonomous vehicles, and sensor technologies.

Samuel Reeves, CEO of FORT, emphasized, “Safety has always been the precondition for scale — you can't deploy robots broadly if you can't guarantee they'll operate safely around people and valuable infrastructure. Our collaboration with NVIDIA enhances perception, making safety genuinely intelligent. Agentic robots that understand their environment and respond in real time are not only safer but also more productive.