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Interesting Engineering

California’s first carbon vault starts trapping CO2 more than one mile underground China launches first battery-swap truck network with 120-second recharge system Space Archives - Interesting Engineering China tests lunar soil fibers for future Moon base construction US nuclear recycling plant could extract 100 times more energy from uranium fuel How the U.S. nuclear triad forms America’s ultimate deterrence system Hawaii startup builds 3D-printed Navy boat using volcanic basalt composite Researchers discover prism-like light-scattering crystals in deep-sea predator US Air Force sends ULTRA Turbo drone with multi-day endurance to Middle East Scientists successfully create long-predicted 3D magnetic structures ‘Hopfions’ China: ENGINEAI’s 129,000 sq ft factory claims to build one humanoid robot every 15 mins World’s first quantum chip uses advanced lithography to make qubits easier to scale Military Archives - Interesting Engineering China’s 938-foot nuclear-powered carrier could rival US Navy supercarriers by 2032 F-35B fighter jet flies with 62 mile-range Spear mini-cruise missile in test New photonic device uses light instead of electricity for faster computing ‘Roly-poly’ robot and tiny drones could unlock hidden Mars lava tube secrets soon Video: This $42k humanoid robot from China blends real-time motion, vision, and smart control Military Archives - 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China: First heterogeneous humanoid robot training facility to open in Shanghai
Jijo Malayil · 2026-05-27 · via Interesting Engineering

Facility simulates home and work environments, collecting data to train humanoid robots for multiple industries.

The center also aims to build a large learning database to help future robots train faster and adapt more quickly.

The center also aims to build a large learning database to help future robots train faster and adapt more quickly (representational image).TUM

China is set to launch its first heterogeneous humanoid robot training facility in Shanghai this July.

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.

In December 2025, China opened a humanoid robot training center in Beijing, where robots practice factory work, household chores, cooking, and parcel handling.

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 (53,800 square feet), 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 (GT).

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 GT.

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.

Germany`s robot center

Germany is also preparing 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 (TUM) and Metzingen-based robotics company NEURA Robotics.

Located near Munich Airport, the center will cover around 2,322 square meters (25,000 square feet) 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.

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Jijo is an automotive and business journalist based in India. Armed with a BA in History (Honors) 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.