Robotics company RealMan Robotics has launched a large-scale Humanoid Robotics Data Training Center in Beijing, China in an effort to accelerate the development of humanoid robots for both domestic and industrial uses.
The aim of establishing the site is to create an ‘innovative hub that unites core technology research and development, scenario-based application testing, operator training, and ecosystem collaboration.
Spanning 3,000m² (c. 32,000ft²), the centre is divided into a training zone and an application zone, with 108 different forms of robots already deployed.
These include embodied dual-arm lifting robots, wheeled humanoids, drone-arms and quadruped robotic platforms.
The centre features 10 real-world environments, which have been constructed to test robots and ‘support large-scale multimodal data generation, producing an estimated over 1 million high-quality data points annually for training advanced AI models’.
Amongst these environments include eldercare and rehabilitation, special operations, new retail, automotive assembly, and smart catering.
RealMan Robotics says that the centre is designed to address three ‘fundamental pain points’ in robotics: lack of cross-scenario data generalisation; significant gaps between simulation and real-world conditions; and absence of standardised data formats and efficient closed-loop iteration.