A system-level platform spanning humanoid robotic arms, integrated joint modules, global remote operations, and open-sourced real-world data.
Las Vegas, CES 2026 – RealMan Robotics, a system-level infrastructure platform company for the era of embodied intelligence, unveiled its latest advancements at CES 2026, showcasing a comprehensive technology stack spanning hardware, data, and remote operations.
At the exhibition, RealMan presented three core innovations:
- A fully integrated joint module
- Ultra-lightweight humanoid robotic arms
- The Global Labor Network (GLN), powered by RealBOT wheel-foldable robots and the Humanoid Robot Data Training Center
Redefining Reliability: 50,000-Hour MTBF

The 7-degree-of-freedom RX series, featuring a highly anthropomorphic wrist design, excels at dexterous manipulation in confined spaces. Since 2018, RealMan has been at the forefront of developing ultra-lightweight humanoid arms and high-precision, long-life actuators.
Certified to CR L3, the robotic arms achieve an average MTBF of 50,000 hours, supporting stable execution of real-world tasks such as opening refrigerator and washing machine doors, capabilities critical for large-scale, high-quality data collection.
In parallel, RealMan’s integrated joint modules have surpassed an annual production capacity of 100,000 units and have obtained RoHS and REACH certification, following rigorous compliance testing conducted by TÜV SÜD Germany.
Innovating Human-Robot Collaboration Through a Global Remote Operations Network

This remote operations network transforms human skills into scalable infrastructure, making operational capabilities schedulable, quality-assured, and billable. Through an immersive teleoperation interface, operators can precisely command robots in real time, executing tasks ranging from towel folding and box handling to complex operations such as pipeline inspection and power system management.

Humanoid Robot Data Training Center

The center has developed the world’s first high-quality, multimodal real-world dataset, which has been open-sourced to address critical data bottlenecks in robotic learning. By providing critical data support to both academia and industry, RealMan accelerates the development of advanced algorithms and the industrialization of intelligent robotics.






