Neura Robotics and TUM launches the RoboGym at Munich airport with 2300m² - Europe’s largest scientific training center for Physical AI, feeding data to Neuraverse, the company’s cloud-based shared intelligence network
A 2,300m² RoboGym will generate real-world data for Neura's cloud-based shared intelligence network, Neuraverse.
Neura Robotics, in partnership with the Technical University of Munich (TUM), has officially opened RoboGym, a massive 2,300-square-meter research and training facility located at Munich Airport. This launch establishes Europe's largest scientific center dedicated to advancing "Physical AI"—the integration of artificial intelligence with robotics to interact intelligently with the physical world. The facility is not just a testing ground but a data-generation engine, where robots will perform a vast array of manipulation and mobility tasks in controlled yet realistic environments.
The core purpose of RoboGym is to feed a continuous stream of high-quality, real-world interaction data into Neuraverse, Neura Robotics' proprietary cloud-based shared intelligence network. This model is akin to a collective brain for robots; data and learned skills from one robot or task in the gym can be processed and shared to improve the performance of other connected robots. This approach aims to overcome one of the biggest bottlenecks in robotics: the scarcity of diverse, real-world training data needed for AI models to generalize beyond narrow, pre-programmed functions. By creating a dedicated hub for this data generation, Neura is building the infrastructure for robots that can learn and adapt more efficiently.
- The RoboGym is a 2,300m² facility, making it the largest scientific training center for Physical AI in Europe.
- It is a joint venture between robotics company Neura Robotics and the Technical University of Munich (TUM), located at Munich Airport.
- Its primary function is to generate real-world data to train and improve Neura's cloud-based shared intelligence network, called Neuraverse.
Why It Matters
This creates a critical data pipeline for developing adaptable, general-purpose robots, moving beyond single-task automation.