A new collaboration between Siemens and Humanoid is pushing humanoid robots closer to real-world factory deployment, marking a significant step for what the industry calls “physical AI.”
The companies announced that Humanoid’s HMND 01 Alpha robot has been successfully tested inside a working electronics factory in Erlangen, Germany. The wheeled humanoid robot carried out autonomous logistics tasks, including picking up, transporting, and placing containers for human workers, meeting key performance targets during the trial.
The deployment builds on Siemens’ broader partnership with NVIDIA, first highlighted earlier this year, aimed at developing fully AI-driven and adaptive manufacturing facilities. Together, the companies are attempting to bridge the gap between advanced AI models and the practical demands of industrial environments.
During testing, the HMND 01 robot achieved a throughput of around 60 container movements per hour, maintained more than eight hours of operational uptime, and recorded pick-and-place success rates above 90 percent. These benchmarks suggest humanoid systems are beginning to meet the reliability standards required for factory use, an area where many earlier robotics efforts struggled.
A major factor in the deployment is Siemens’ Xcelerator platform, which acts as the digital backbone connecting robots, machinery, and production systems. The platform enables real-time data exchange, coordinated workflows, and adaptive responses to changing conditions on the factory floor. Without that level of integration, even advanced robots tend to operate in isolation rather than as part of a synchronized production system.
On the AI side, Humanoid built the robot using NVIDIA’s physical AI stack, including simulation and training tools that allow much of the robot’s development to happen virtually before hardware is finalized. This approach significantly reduced development time, cutting the typical prototype cycle from up to two years down to about seven months.
The HMND 01 itself is designed specifically for industrial settings, combining a wheeled base for mobility with humanoid-style manipulation capabilities. The goal is to create robots that can operate in spaces built for humans while adapting to a wide range of tasks, rather than being limited to a single predefined function.
Industry leaders say this kind of system could help address ongoing labor shortages and increasing complexity in manufacturing. By combining AI-driven perception, decision-making, and physical action, humanoid robots are being positioned as flexible tools that can work alongside human employees rather than replace entire production lines.
Join the Discussion