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I’m betting that you know where you are in terms of physical location. They once asked on TV ads, “Do you know where your kids are?” Now the questions are, “Do you know where your machines are?” and “Do your machines know where they are?”

OPC Foundation continues its quest to link to everything possible. Its list of “companion specs” is long. This new concerns a partnership regarding spatial understanding—by networked industrial systems of machines, robots, and mobile systems understanding one another by physical location. Sounds useful for things moving around the factory.

This partnership includes AIM-D, omlox, and the OPC Foundation creating a new OPC UA specification.

Industrial automation is facing a paradigm shift: machines, robots, and mobile systems are learning to “understand” space. With the new OPC UA Companion Specification for Identification and Locating, AIM-D e.V., PROFIBUS & PROFINET International (PI) with the open locating standard omlox, and the OPC Foundation are establishing the foundation for a common language of “spatial intelligence.”

Physical AI – that is, AI that actively perceives physical space and acts contextually – requires a unified understanding of positions, movements, and identities in space. This is precisely where the new Companion Specification comes in: it harmonizes the spatial data model for absolute positions within the OPC Foundation and allows for a unified global positioning of assets in the physical and digital world.

This enables a seamless integration of spatial data into industrial IT and OT systems – a prerequisite for autonomous mobile robots, intelligent assistance systems, and self-organizing production environments.

The new specification is now freely available on the OPC Foundation’s website and is considered a milestone for the next evolutionary stage of industrial intelligence.

The collaboration between AIM-D, omlox / PI, and the OPC Foundation brings together the disciplines of identification, locating, and communication in a common spatial context. This creates a decisive foundation to equip robots, vehicles, and machines with a shared spatial understanding – the key to Physical AI, resilient supply chains, and autonomous industrial ecosystems.

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