RealMan Robotics Establishes Pioneering Humanoid Robot Data Training Center in Beijing

Building Today’s Infrastructure for Tomorrow’s Technology

The consensus that humanoid robots represent one of the most promising applications of artificial intelligence is rapidly gaining ground. These robots are now transitioning from research laboratories into daily life and industrial applications. To accelerate this transformation, the “Humanoid Robotics Data Training Center” opened in Beijing aims to break new ground in the field.

The center offers services across a wide spectrum, from research and development activities to scenario-based testing applications, from training simulations to operator development programs. It adopts a holistic approach that places ecosystem collaboration at its core throughout all these processes. RealMan Robotics, serving as the technology and equipment provider for the project, plays a critical role in every stage from the center’s establishment to its daily operations.

Technical Specifications and Comprehensive Infrastructure

Built on a total area of 3,000 square meters, the center is divided into two main sectors containing training and application divisions. Currently, 108 different robots are actively operating at the facility. This robotic fleet includes dual-arm manipulator robots, wheeled humanoid platforms, drone arms, and quadruped locomotion systems.

To maximize data quality and scenario realism, the center simulates ten different real-world environments. These environments include elderly care and rehabilitation services, specialized security operations, next-generation retail solutions, automotive assembly lines, and intelligent hospitality services. Through these diverse scenarios, the center can generate over one million high-quality data points annually, which are used for training advanced artificial intelligence models.

Solution-Focused Approach to Industry Challenges

The center focuses on solving three fundamental problems facing the robotics industry:

Data Generalization Problem: Limitations in data transfer between different scenarios are being resolved.

Simulation-Reality Gap: The large gaps between virtual environments and real-world conditions are being bridged.

Standardization Deficit: Unity in data formats is being achieved and efficient closed-loop development processes are being established.

The center aims to accelerate the commercialization of humanoid robotics and embodied artificial intelligence technologies by establishing a fully integrated data processing pipeline from data collection to training, from validation testing to final product deployment.

Vision Presentation: “The Future of Robotics”

At the center’s opening event, Humanoid Robotics Data Training Center Director Eric Zheng delivered a presentation titled “Exploring the Future of Robotics.”

In his presentation, Eric Zheng stated, “There are three critical barriers to robot integration into daily life: operational capacity, generalization ability, and cost effectiveness.” He noted that traditional industrial robots are heavy and expensive, while service robots remain at a very basic level. He emphasized that most robots lack the adaptation skills that humans demonstrate in complex environments, stating that the combination of long development cycles, weak scenario compatibility, and high costs results in limited adoption rates.

He said that overcoming these challenges requires both revolutionary advances in robot design and real-world scale big data generation supporting flexible, cost-effective deployment models.

New Technology: RealBOT Open Platform System

RealMan developed the RealBOT Embodied Intelligence Open Platform to address these needs. Specifically designed for high-quality data collection processes, the platform works in deep integration with remote teleoperation systems and creates new paradigms in human-robot collaboration.

This development represents a significant step in the journey of robotic technology from being “dependent on humans” to becoming “helpful to humans,” and from there to reaching a level that “empowers and liberates humans.”

Global Robotics Ecosystem Goal

As part of future plans, the training center aims to expand industry-university collaborations, mobilize ecosystem resources, and promote joint technology development, data sharing, and a culture of mutual growth in the business world. These initiatives aim to accelerate the global adoption process of humanoid robotics while supporting sustainable and high-quality industrial development.

For more detailed information: www.realman-robotics.com