China will launch its first heterogeneous humanoid robot training facility in Shanghai this July for diverse training shared data
The center also aims to build a large learning database to help future robots train faster and adapt more quickly . The facility, part of the National and Local Co-Built Humanoid Robotics Innovation Center, will train diverse types of humanoid robots for applications across daily life and industrial environments.
The platform aims to boost robot learning, adaptability, and humanoid commercialization through large-scale shared data, according to Chinese media reports. The humanoid robot training facility is being developed in Shanghai’s Zhangjiang area by the National and Local Co-built Humanoid Robotics Innovation Center.
Covering more than 5,000 square meters , the center hosts over 100 robot types from more than a dozen companies, making it the country’s largest humanoid robot training site by variety, according to the Global Times . The facility simulates both household and workplace environments where robots are trained through real-world tasks.
During training, data is continuously generated and collected to build large-scale databases that can support humanoid robots and AI models used in industries including manufacturing, services, healthcare, and agriculture. According to Xu Bin, general manager of the center, the facility is intended to serve as foundational infrastructure for the humanoid robotics industry.
It focuses on solving key industry challenges such as shared technology development, ecosystem building, representative product creation, and deployment in major application scenarios, reports Xu said the center was established to enable large-scale data sharing and utilization across the industry. Since humanoid robots from different manufacturers vary in structure, joint numbers, and motor systems, their training data are often incompatible.
The platform aims to bridge these gaps and improve data interoperability among heterogeneous robot systems.to launch what is expected to be one of the world’s largest robotics research and training centers, designed for humanoid robots to learn everyday and industrial tasks through human-led training. The new facility, TUM RoboGym, is being built through a collaboration between Germany’s Technical University of Munich and Metzingen-based robotics company NEURA Robotics.
Located near Munich Airport, the center will cover around 2,322 square meters and function as a dedicated training environment for AI-powered robotic systems, especially humanoid robots. The project involves a multimillion-dollar investment, with contributions supporting both robotic hardware and infrastructure development. The facility aims to accelerate progress in robotics by combining academic research with advanced industrial robotics technology.
It will serve as a space where robots repeatedly practice tasks under human supervision, gradually developing general-purpose skills that can later be applied to real-world environments. Key training activities will include object manipulation, component assembly, folding, and other precision-based tasks that remain challenging for current robotic systems. Researchers emphasize that high-quality, real-world training data is critical for embodied AI systems, as such robots cannot rely on large-scale internet data like language models.
The center will address this gap by generating extensive physical interaction data through hands-on training sessions. It is expected to host hundreds of robots and support both research and education, helping engineers and students develop new approaches in robotics. The initiative is also seen as a strategic step toward strengthening regional capabilities in advanced robotics and artificial intelligence development. Jijo is an automotive and business journalist based in India.
Armed with a BA in History from St. Stephen's College, Delhi University, and a PG diploma in Journalism from the Indian Institute of Mass Communication, Delhi, he has worked for news agencies, national newspapers, and automotive magazines. In his spare time, he likes to go off-roading, engage in political discourse, travel, and teach languages. AI and Robotics
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