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 in a press release dated August 24. Thus, robot users now have a hub available that links research and development with scenario-based application tests, operator training, and collaboration in ecosystems, it says there. As a technology and equipment provider, RealMan Robotics plays a central role in both the construction and the day-to-day operation of the center.
108 robots in active deployment
Across a 3,000-square-meter area, the center is divided, according to the company, into a training area and an application area, in which
108 robots of various 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. Collectively, 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 a seamless data backbone—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.
“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 respects 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 simple in construction, and most lack human adaptability in complex environments. Long
design times and insufficient adaptability to the individual application, combined with high costs, continue to limit acceptance.”
The elimination of these deficits, according to Zheng, requires breakthroughs in robot design as well as the generation of extensive data from real-world deployment to develop models that enable flexible and cost-effective deployment.
One prerequisite for this is RealMan's “RealBOT Embodied Intelligence Open Platform.” According to the provider, it was developed for capturing high-quality data and aims, through deep integration with teleoperation systems, to create new paradigms of human–robot collaboration. This is an important step in the development of robotics from the status “dependent on humans” to “supporting humans” and finally to “empowering and liberating for humans,”
