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Humanoid robotics data training center: high-quality data worldwide

The use of humanoid robots, which are regarded as one of the most promising forms of artificial intelligence, is expanding quickly from the laboratory to business and daily life. A huge Humanoid Robotics Data Training Center has been formally opened in Beijing to expedite this shift. It is an inventive hub that combines ecosystem collaboration, operator training, scenario-based application testing, and core technology research and development.

As a core technology and equipment provider, RealMan Robotics plays a central role in both the deployment and daily operations of the center.

A world-class robotics training facility

Spanning 3,000 square meters, the center is divided into a training zone and an application zone, with 108 robots of diverse forms already deployed. These include embodied dual-arm lifting robots, wheeled humanoids, drone-arms, and quadruped robotic platforms.
To ensure data quality and scenario realism, the center has constructed ten real-world environments – including eldercare and rehabilitation, special operations, new retail, automotive assembly, and smart catering. Together, these scenarios support large-scale multimodal data generation, producing an estimated over one million high-quality data points annually for training advanced AI models.

Tackling industry bottlenecks

Humanoid robotics
RealMan launches humanoid robotics data training center to deliver high-quality data worldwide. (photo: RealMan)

The center addresses three fundamental pain points in robotics:

  • Lack of cross-scenario data generalization;
  • Significant gaps between simulation and real-world conditions;
  • Absence of standardized data formats and efficient closed-loop iteration.

By creating a full-stack data pipeline – from collection and training to validation and deployment – the center aims to accelerate the commercialization of humanoid robotics and embodied AI.

Open day insights: the “endgame” of robotics

Humanoid robotics
Eric Zheng, Director of the Humanoid Robotics Data Training Center. (photo: RealMan Robotics)

At the center’s Open Day, Eric Zheng, Director of the Humanoid Robotics Data Training Center, delivered a keynote titled “Exploring the Endgame of Robotics.”

“Robots face three enduring bottlenecks before they can scale into everyday life: operational capability, generalization, and cost efficiency,” Eric noted. “Traditional industrial arms are heavy and expensive, service robots remain too simplistic, and most lack the adaptability of humans in complex environments. Long deployment cycles and poor scenario adaptability – combined with high costs – continue to limit adoption.”
He emphasized that solving these challenges requires both breakthroughs in robot design and large-scale real-world data generation, fueling models that enable flexible and affordable deployment.

RealMan’s new initiative: RealBOT Open Platform

Humanoid robotics
Pioneering embodied intelligence with Real-World applications, open-source platforms, and global collaboration. (photo: RealMan Robotics)

In response, RealMan unveiled the RealBOT Embodied Intelligence Open Platform, designed for high-quality data acquisition. By deeply integrating with remote teleoperation systems, the platform creates new paradigms of human-robot collaboration. This marks a key step in robotics evolving from “reliant on humans” to “assisting humans”, and finally to “empowering and liberating humans.”

Toward a global robotics ecosystem

Looking forward, the training center will expand industry-academia collaboration, mobilize ecosystem resources, and foster a culture of technology co-creation, data sharing, and business co-growth. These efforts aim to accelerate the global adoption of humanoid robotics and promote sustainable, high-quality industry development.

More info about:

RealMan Robotics

Robotics

RealMan 2025-09-04
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