The Core Innovations Behind the Industrialization of Intelligent Robotics
A system-level platform spanning humanoid robotic arms, integrated joint modules, global remote operations, and open-sourced real-world data was exhibited at CES 2026.
Edited by EE Staff
Cool Stuff
Feb 2, 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.
Three core innovations were displayed, including a fully integrated joint module, ultra-lightweight humanoid robotic arms, and the Global Labor Network (GLN) that is powered by RealBOT wheel-foldable robots and the Humanoid Robot Data Training Center. These offerings demonstrate RealMan’s holistic approach to embodied AI, bridging physical intelligence, real-world data, and distributed human-robot collaboration.
RealMan’s ultra-lightweight humanoid robotic arms are engineered to closely replicate the length, thickness, flexibility, and load characteristics of an adult male arm. Each arm supports a rated payload of 5 kg, a peak load of 9 kg, and achieves a TCP speed of up to 1.8 m/s, enabling seamless integration into human-centric work and living environments.
The 7-degree-of-freedom RX series, featuring a highly anthropomorphic wrist design, was created for dexterous manipulation in confined spaces. 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 addition, RealMan’s integrated joint modules have obtained RoHS and REACH certification, following rigorous compliance testing conducted by TÜV SÜD Germany.
A major highlight at CES 2026 was RealMan’s live demonstration of cross-border, real-time teleoperation from Beijing to Las Vegas. Embodied trainers at RealMan’s Humanoid Robot Data Training Center in Beijing remotely controlled a RealBOT wheel-foldable robot on the CES show floor, performing tasks such as item delivery and fruit handover in real-world environments.
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.
Beyond hardware, this capability enables efficient global distribution of labor resources across time and space, while continuously generating high-quality, real-world data to drive the next breakthroughs in embodied intelligence.
RealMan’s Humanoid Robot Data Training Center operates 108 embodied robotic bodies across ten real-world application scenarios, accumulating data from thousands of tasks and millions of trajectory segments. 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.
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