ZTE and China Telecom win GSMA GLOMO "Best Private Network Solution" for EasyOn 5G-A-RobotNet

Award-winning EasyOn 5G-A-RobotNet integrates connectivity and edge computing to accelerate scalable humanoid robotics

Partner Content ZTE Corporation (0763.HK / 000063.SZ), a global leading provider of integrated information and communication technology solutions, jointly with China Telecom and intelligent robotics enterprises AGIBOT and DroidUp, has been awarded the GLOMO Best Private Network Solution award with their EasyOn 5G-A-RobotNet.

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By integrating 5G-Advanced connectivity with embodied intelligence, the winning team has successfully demonstrated how a dedicated, optimized network infrastructure can digitize complex robotic operations and enable flexible, scalable automation in ways previously impossible with public cellular or Wi-Fi. This award not only reflects the industry’s full recognition of the innovative integration of 5G A technology and humanoids but also highlights the leading role of Chinese enterprises in the global development of the embodied intelligence industry. It marks a new milestone for humanoids to accelerate large scale, low cost commercialization.

While the global humanoids market accelerates, it faces several critical bottlenecks: insufficient adaptability in complex environments, high full-scale humanoids costs, and the inability of traditional public networks to support the massive sensor data transmission and ultra-low latency required for high-precise control.

EasyOn 5G-A-RobotNet adopts a private network architecture to transcend simple connectivity. By building an integrated "connectivity + computing" platform featuring device-edge synergy, it directly addresses these industry bottlenecks:

• Robot-optimized resource scheduling: Supports millisecond-level dynamic optimization of wireless resources. It simultaneously meets the demands for >100Mbps uplink speeds and <10ms ultra-low latency per robot, capable of supporting large-scale concurrent robot access.
• Edge Computing Pool Architecture: Acting as the core of the system, the edge computing pool hosts and runs VLM/LLM large models. This allows "thin" (lightweight) robots to leverage powerful intelligence and switch tasks rapidly. By offloading high-computing requirements from the robot body, it fully unleashes the commercial potential of cost-effective robots.
• Low-Cost, Rapid Deployment: A plug-in single board within the Baseband Unit creates a compact core network with integrated mobile edge computing (MEC). The deployment costs are reduced by over 50%, and private network activation time is shortened to under one hour.

EasyOn 5G-A-RobotNet supports multi-brand robot task orchestration, helping enterprises manage diverse humanoids under a unified system and lowering the overall cost of introducing large-scale robotic operations. Furthermore, the solution enables the real-time acquisition of high-quality multimodal data, facilitating the rapid iteration of embodied AI foundation models.

Winning GLOMO award is a strong endorsement of EasyOn 5G-A-RobotNet private network solution. It not only provides a highly reliable 'neural network' for the collaborative operation of embodied AI, but also opens a flexible, secure, and cost-effective development path for humanoids.

Contributed by ZTE.