Strategic Direction
Motto:
“Where AI becomes physical — from pilot to scale on the factory floor.”
Data, Models & Simulation
Physical AI is based on data and the models trained on that data. This thematic pillar explores how AI is developed to address the complexity of real-world industrial environments—from digital twins and synthetic data to high-precision simulations. The focus is on the central question of any scaling effort: How can we create models that function reliably not only in the lab but also in production?
AI in Action:
Robotics & Autonomous Systems
Here, AI leaves the digital world and becomes part of physical processes. Robotics, humanoids, and autonomous systems combine perception, decision-making, and execution to perform tasks that traditional automation cannot handle. This section highlights real-world use cases, current limitations, and successful implementations in manufacturing and logistics.
Deployment, Integration &
Scaling
The success of AI is not determined by pilot projects, but by its deployment in production. This thematic pillar focuses on the integration of AI into existing production environments, the economic framework, and scaling beyond individual applications. The focus is on the organizational, technical, and strategic prerequisites for a successful implementation on an industrial scale.