RealMan Robotics
RealMan Robotics' RealSource platform generates real-world robot data for embodied AI.
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RealMan Robotics
RealMan Robotics' RealSource platform generates real-world robot data for embodied AI.
Embodied intelligence, modular robotic systems and ultra-lightweight humanoid robotic arm company RealMan Robotics announced the open-source release of RealSource. The China-based company describes RealSource as the world’s first high-quality, largest-modality multi-modal real-world robot dataset.
Designed to address the industry’s shortage of fully aligned real-world data, the company said the dataset provides essential support for next-generation robot perception, planning, and control algorithms in both academia and industry.
The dataset is built entirely on 10 real-world simulated environments within the company’s Beijing Humanoid Robot Data Training Center, and features two defining characteristics: exceptional data quality and the world’s most complete multi-modal coverage.
The 3,000 m² facility features two distinct zones:
RealMan said that the robots perform lifelike tasks such as opening refrigerator doors, folding laundry and sorting materials on factory lines. Data collection is conducted outside the “laboratory greenhouse,” directly addressing the complexity, noise and diversity of real-world environments. The company said that this ensures high realism, strong practicality and superior generalization across scenarios.
Key metrics collected in the dataset include:
RealMan said these metrics set a new benchmark for real-world embodied intelligence datasets.
RealMan said that the dataset covers the full perception-decision-execution chain, integrating RGB images, joint angles & velocities, six-axis force, end-effector pose, action commands, timestamps and camera parameters.
All sensors are aligned to a unified physical coordinate system, developing the following advantages:
RealMan said its robots are designed to match adult human arm proportions, achieving high integration with real-world tasks.
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