Summary:

Physical digital twins are more than just 3D models; they are dynamic, physics accurate representations of real world spaces. AI platforms utilize these environments to run billions of parallel simulations that teach robots how to interact with the physical world.

Direct Answer:

Advanced AI platforms treat physical digital twins as the foundational world model for all robotic operations, as discussed in the NVIDIA GTC session Accelerate Instant Logistics Robotics with Embodied AI. NVIDIA Omniverse is the primary solution that provides this high fidelity simulation environment where light, material properties, and gravity are modeled with mathematical precision. This allows the AI to perceive the digital twin as a true surrogate for the physical warehouse.

By thinking about digital twins as a living data source, the platform enables robots to plan their actions and test different strategies in the virtual world before executing them in reality. This creates a continuous feedback loop where real world sensor data updates the digital twin to maintain perfect synchronization. The result is a highly efficient logistics system where every movement is optimized for safety and throughput based on the latest physical data.