Artificial intelligence is redefining industrial automation—driving the evolution toward modular, software-defined factories and intelligent, adaptive systems. This webinar explores key AI applications such as predictive maintenance, autonomous navigation, energy optimization, and human-robot collaboration.

Real-world examples of human-robot collaboration include:

• Manufacturing: Collaborative robots (cobots) assist with tasks like welding, bolting, and assembly, improving precision while reducing worker fatigue.
• Industrial Vehicles: AI-powered cranes and autonomous guided vehicles (AGVs) enhance safety and accuracy by working alongside human operators to move heavy materials in dynamic environments.
• Logistics: Integrated human-robot teams streamline warehouse operations by managing inventory and accelerating order fulfillment.

The session will also address the challenges of deploying AI at the edge, such as power limitations and fragmented systems.

Learn how the Qt AI Inference API provides a unified, cross-platform solution to these challenges—simplifying development, accelerating deployment, and enabling flexible, scalable AI integration across diverse industrial hardware.

Speakers

• Michele Rossi, Director, Industrial Automation, Qt Group
• Tommi Mänttäri, Senior Manager, R&D, Qt Group