The widespread adoption of Autonomous Mobile Robots (AMRs) depends heavily on their ability to navigate and operate safely in environments shared with humans and other vehicles. This is especially challenging in brownfield deployments, where existing Autonomous Ground Vehicles (AGVs) or manually operated vehicles are already integrated into operations. In such environments, AMRs must function alongside diverse systems, often without direct communication, requiring advanced coordination and situational awareness.

In shared spaces, such as intersections, loading zones, and outdoor areas where large trucks also operate, AMRs face unique challenges in maintaining smooth and safe operations.

While careful planning and efficient use of space can mitigate some of these issues, real-world conditions are dynamic and unpredictable. This unpredictability can lead to scenarios where AMRs encounter unexpected obstacles or conflicts. Addressing these challenges requires a robust solution to ensure the safe coexistence of AMRs and other vehicles in high-stakes environments.

At Ati, we are driven by a passion for improving safety and reducing customer challenges. This led us to develop Ati Eye, an innovative vision system designed to transform how AMRs safely navigate shared spaces and improve operational efficiency in dynamic environments

The Ati Eye Solution

Ati Eye leverages camera feeds from strategic locations, such as traffic intersections, to monitor vehicle movement within a defined “region of interest.” This real-time data flows directly to the Ati Fleet Manager, the core intelligence behind our AMR fleets, where it is analyzed to identify and react to other vehicles in the area.

The Ati Eye’s object detection model is custom-trained for optimal accuracy and ultra-low latency, allowing it to make split-second decisions. With this level of intelligence, the Ati Fleet Manager can take context-appropriate actions to ensure smooth operations, such as:

• Stopping the Sherpa to allow other vehicles to pass safely
• Alerting human drivers to the Sherpa’s presence through smart traffic signals
• Controlling vehicular flow with boom barriers, powered doors, or other mechanisms.

Ati Eye is housed in an industrial-grade enclosure and built with ruggedized hardware, making it perfect for deployment in demanding industrial environments.. The software is trained to perform flawlessly in low-light conditions commonly found in industrial settings.  Ati Eye is designed to integrate seamlessly into our customers’ unique workflows. With one-click commissioning, remote diagnostics, and adaptable AI models, it enables our engineers to quickly calibrate and update configurations for optimal performance.

Key Scenarios for Ati Eye

The Ati Eye solution is designed to handle a wide range of scenarios, including:

1. Traffic Regulation on Public Roads: The Sherpa operates side-by-side with human-driven vehicles, where precise control is essential for safety.
2. Shared Spaces with Non-Ati AMRs and AGVs: At traffic intersections, the Sherpa shares space with autonomous and manually operated vehicles, requiring situational awareness and responsive actions.
3. Navigating Blind Spots: Ati Eye ensures safe operations at the more challenging points along the Sherpa’s routes, like blind corners or high-traffic areas.

With Ati Eye, we are not just enhancing the safety and efficiency of AMRs. We are paving the way for smarter, more reliable operations in dynamic, real-world environments.