Private 5G and Edge AI Enable Autonomous Factory

Qualcomm Technologies and Siemens are presenting a joint demonstration at Mobile World Congress Barcelona showing how private Industrial 5G networks and edge artificial intelligence can support autonomous manufacturing systems. The implementation integrates deterministic wireless connectivity with localized AI processing to enable faster decision-making and improved coordination among factory machines and robotics.

Private Industrial 5G for Autonomous Production
Modern manufacturing increasingly relies on distributed production cells, mobile robots and automated material handling systems. These components must communicate reliably with minimal latency while operating in dynamic industrial environments.

In the demonstration, Siemens provides a private Industrial 5G network infrastructure powered by Qualcomm technology. Private 5G allows manufacturers to deploy dedicated wireless networks within production facilities, ensuring deterministic performance, low latency and enhanced security compared with public networks.

The wireless system connects multiple elements within a model factory environment, including automated guided vehicles (AGVs), robotic assembly stations and production cells.

Edge AI for Local Decision-Making
Alongside connectivity, the demonstration highlights the role of on-premises artificial intelligence in autonomous factory operations. AI models run locally on Siemens industrial PC (IPC) hardware equipped with the Qualcomm Cloud AI 100 Accelerator Card.

An AI agent continuously analyzes operational data from the production environment to determine system conditions and identify potential issues. When anomalies occur, the system evaluates possible root causes and recommends corrective actions without relying on centralized cloud systems or Manufacturing Execution Systems (MES).

Running AI workloads locally reduces response times and ensures sensitive production data remains within the factory network.

Coordinated Robotics and Quality Inspection
The demonstration includes an automated guided vehicle transporting materials through the factory model over the private 5G network. The AGV communicates with a robotic arm responsible for performing assembly tasks, enabling coordinated interaction between mobile and stationary production systems.

Additional AI-driven functions include real-time process quality inspection and monitoring of production states. These tasks rely on the high-performance inference capabilities of the Qualcomm Cloud AI 100 platform to process data directly at the edge.

Industrial Connectivity and AI Integration
Siemens and Qualcomm have collaborated on private 5G technologies for industrial environments for several years. Combining deterministic wireless connectivity with localized AI processing allows manufacturing systems to respond dynamically to operational changes.

The integrated approach supports flexible production architectures, where machines and robots coordinate autonomously while maintaining high reliability and safety. Such architectures are increasingly relevant as factories evolve toward highly automated, data-driven production environments.