Future warehouses, as envisioned by KION Group AG, NVIDIA, and Accenture, are set to function like large autonomous robots, coordinating fleets of smaller robots to optimize operations. This vision, showcased at CES 2025, leverages NVIDIA’s Omniverse platform and Mega, a digital twin blueprint for large-scale industrial environments.
Digital twins, powered by physical AI, simulate real-world warehouse conditions to design optimal layouts, test configurations, and train autonomous robots without disrupting ongoing operations. These virtual models allow for precision planning of resources, such as the number of robots, workers, and automation equipment required to meet varying demands. Integrated with KION’s warehouse management software, the digital twins assign and optimize tasks, simulating scenarios to enhance efficiency and adaptability.
The technology also includes training robots to respond to changing conditions, such as inventory fluctuations or demand surges. By continuously refining operations based on data-driven insights, the system helps create more resilient and productive supply chains. This collaborative approach between human workers and machines aims to establish safer, more efficient warehouse environments.
