Report Outline:

Accenture has launched ‘Physical AI Orchestrator’, a cloud-based solution combines NIVIDIA Omniverse, including the 'Mega' NVIDIA Omniverse Blueprint, NVIDIA Metropolis, and AI agents from Accenture’s AI Refinery platform.

The solution uses AI agents to convert insights from digital twins of planned and existing physical assets, such as conveyors, robots, shop floor and warehouse layouts, to enable an adaptation of a physical asset to changing demand, quality or scheduling.

The capabilities of Physical AI Orchestrator include:

• AI-powered processes to generate digital twins of factories and equipment
• AI agents aiding engineers during the process of, for example, designing, simulating and installing a new production line
• Vision analytics of video data such as worker, vehicle and material movements
• Asset connectors 
• XR extensions, enabling interactions with the digital twin in an augmented environment and training and collaboration in a shared virtual space.

Early references of enterprises starting to apply Physical AI Orchestrator include:

• Belden, a network and data solutions provider, used Physical AI Orchestrator to develop a virtual safety fence solution for workers in factories and warehouses. The solution creates safety zones around robots. If a human enters a zone, the robots in it are automatically stopped or rerouted. The solution uses edge AI to detect and model worker, vehicle and robot movements and equipment paths within facilities and is trained on what-if scenarios such as forklifts reversing unexpectedly. The first deployment of the virtual safety fence will be by an automotive manufacturer for use in warehouse environments

• A life sciences company, for validating ideal production conditions for biologics and vaccines. Using Physical AI Orchestrator to simulate the preservation cycle and drying process, the company tested various temperature and pressure profiles. The simulation showed when, where, and why deviations occurred
• A consumer goods manufacturer, built a digital twin of its warehouse operations to analyze worker movement, picking rates and conveyor systems to identify throughput gaps and layout inefficiencies. Adjustments to the layout design and resource allocation recommended by the twin resulted in a 20% throughput improvement from optimizing the conveyor flow.