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SKT Adopts Robot Data Factory Standardization Project at ITU-T

Google 우선 소스Published2026.07.23 13:01

Establishment of interoperability standards based on RDF 5-layer structure, digital twin robot learning platform scheduled for release in the second half of the year
Attempts to resolve the compatibility issues regarding the formats and interfaces of AI training data, which varied across robot models and platforms, through international standards have begun in earnest. With the robot data production and utilization system proposed by SK Telecom (SKT) being adopted as an official standardization project by the International Telecommunication Union Telecommunication Standardization Sector (ITU-T), participation by domestic companies in standardization discussions in the field of Physical AI is expected to expand.

SKT announced that a new standardization project regarding the 'Robot Data Factory (RDF) interoperability structure and method' was adopted at the ITU-T international standardization meeting held in Geneva, Switzerland from July 14 to 22.

The project was proposed by SKT to Study Group 11 (SG11) under the ITU-T and was officially adopted at this meeting following review and discussion by member countries.

This project defines a structure for systematically producing and distributing motion data required for AI learning of intelligent robots, including humanoids.

Currently, the robotics industry faces a situation where ensuring compatibility between systems is difficult because data collection and management methods vary depending on the model and installed software.

SKT explained that it plans to divide the RDF structure into five layers—service, robot model/data, infrastructure, device, and management—and establish the roles of each layer and inter-layer interoperability standards to enable functional connection, replacement, and expansion between different robots and platforms.

Based on its experience in building and advancing a digital twin platform in the manufacturing AI field in collaboration with SK Hynix, SKT is expanding its business scope into a robot learning platform that generates robot work data and utilizes it for AI training.

With the adoption of this standardization project, we will enhance the usability of the digital twin-based robot learning platform being prepared for launch in the second half of the year, and domestic and international robots andIt also announced plans to expand cooperation with AI companies and research institutions.

Choi Dong-hee, Head of SKT’s AI Strategy Planning Office, said, “With the adoption of this project, we have laid the foundation to lead discussions on international standards in the field of physical AI,” adding, “We will continue to lead international standardization in the robotics field based on our technological capabilities encompassing robot learning platforms and AI models.”
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