To advance the use of the technology in everyday life and industry, the Chinese provider RealMan has now opened a data training center for humanoid robotics in Beijing. This is reported by a press release dated August 24. This means that robot users now have access to a hub that combines research and development with scenario-based application testing, operator training, and collaboration in ecosystems, as it says there. As a technology and equipment provider, RealMan Robotics plays a central role in both the construction and daily operation of the center.
108 robots in active testing
Covering an area of 3,000 square meters, the center is, according to the company, divided into a training area and an application
area, in which 108 robots of different designs are already in operation. These include two-armed robots for handling tasks, wheel-based humanoid robots, drone-assisted robots, and four-armed robot platforms.
To ensure data quality and provide realistic scenarios, the center, according to RealMan, covers ten realistic deployment areas – including elderly care and rehabilitation, retail, automotive production, and intelligent catering. Together these scenarios are intended to support large-scale multimodal data generation and are expected to generate more than one million high-quality data points per year for training advanced AI models.
Targeted addressing of weaknesses
The center addresses three fundamental weaknesses in industrial robotics:
- Lack of cross-scenario data generalization
- Gaps between simulation and real-world conditions
- Lack of standardized data formats
- and efficient closed-loop iteration cycles.
By creating an end-to-end data foundation—from collection through training to validation and deployment—the center aims to accelerate the commercialization of humanoid robotics and embodied AI, according to the press release.
The Endgame of Robotics
On the open house day for the center's inauguration in August, Eric Zheng, Director of the Humanoid Robotics Data Training Center, delivered a keynote titled "Exploring the Endgame of Robotics." According to him, robots must improve in three aspects before they can be used in everyday life: deployability, standardization, and cost efficiency. "Conventional industrial robots are heavy and expensive; service robots are still very simply built, and most lack human adaptability in complex environments. Long design times and
lack of adaptability to individual applications – combined with high costs – continue to constrain acceptance."
Eliminating these deficits, according to Zheng, requires both breakthroughs in robot design and the generation of extensive data from real-world deployment to develop models that enable flexible and cost-effective deployment.
A prerequisite for this, RealMan intends to create with the "RealBOT Embodied Intelligence Open Platform." It was developed, according to the provider, for capturing high-quality data and aims to create new paradigms of human-robot collaboration through deep integration with teleoperation systems. This, the company believes, is an important step in the development of robotics from the status of 'dependent on humans' to 'supporting humans' and finally to 'empowering and liberating for
