Humanoid robots are quickly making their way from the lab to industry and daily life. In order to hasten this shift, a massive Humanoid Robotics Data Training Center has been formally opened in Beijing, establishing a cutting-edge hub that combines ecosystem cooperation, operator training, scenario-based application testing, and core technology research and development.
RealMan Robotics is a key supplier of equipment and core technology that is essential to the center’s deployment and day-to-day operations.
A World-Class Robotics Training Facility
The facility, which is 3,000 square meters in size and has 108 robots of various shapes currently deployed, is separated into training and application zones. These consist of quadruped robotic platforms, wheeled humanoids, drone arms, and embodied dual-arm lifting robots.
The center has built ten real-world scenarios, such as eldercare and rehabilitation, special operations, new retail, automobile assembly, and smart catering, to guarantee data quality and scenario realism.
When combined, these scenarios enable the production of massive amounts of multimodal data, with an expected yearly production of more than one million high-quality data points for the training of sophisticated AI models.
Tackling Industry Bottlenecks
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
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
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.
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