[MWC26] KT Unveils Robot Platform 'K RaaS'... Demonstrates Implementation of Physical AI

KT will unveil its physical artificial intelligence (AI) strategy—which connects robots, equipment, and IT systems into a single intelligent ecosystem—along with its robot platform, "K RaaS (KT Robot as a Service)," at Mobile World Congress (MWC) 2026, the world's largest mobile exhibition.

KT announced on the 1st that it will unveil its physical artificial intelligence (AI) strategy, which connects robots, equipment, and IT systems into a single intelligent ecosystem, and the robot platform "K RaaS (KT Robot as a Service)" at Mobile World Congress (MWC) 2026, the world's largest mobile exhibition. Photo by KT

K RaaS is a robot orchestration platform that goes beyond simply controlling individual robots, implementing physical AI services that are ready for real-world operations. It integrates robots, facilities, and legacy systems to recognize, analyze, and manage the lifecycle of services, enabling immediate application of AI-driven automation in actual business environments.

Additionally, it is designed with a structure optimized for cloud environments, allowing for real-time monitoring of distributed robots and equipment, as well as integrated operation and management. The overall physical AI system operates organically, functioning as a unified flow of services.

This platform is equipped with various agents that perform different roles. The Service Builder Agent enables clients to design and deploy robot-integrated services tailored to their specific environments. The K RaaS Agent provides a natural language interface for checking mission status, analyzing operational data, and generating reports.

KT has established physical AI application references across various industrial sites by combining its ultra-high-speed network infrastructure, generative AI model "Sota K," and robot orchestration technology.

KT emphasizes that K RaaS is not limited to connecting robots or managing them, but is a field-oriented physical AI orchestration platform where AI understands the physical environment and drives optimal execution.

The Vision-Language-Action (VLA) Agent will also be showcased. The VLA Agent integrates visual information and language for comprehensive understanding, linking this to real-world actions. Designed as a universal structure, the VLA Agent equips systems with capabilities for perception, inference, and action.

The VLA Agent allows robots to autonomously understand user intent and context based on trigger words and gaze recognition. It also enables real-time monitoring of what the robot perceives, the inference process it undergoes, and the actions it triggers.

During the VLA Agent demonstration, the process of a robot recognizing user intent in a crowded environment will be shown. When a visitor makes eye contact, waves their hand, or calls out "KT Robot," the robot simultaneously recognizes the trigger word and gaze, processes them, and responds accordingly. While moving, the robot uses LiDAR sensors and depth cameras to scan its surroundings in real time and automatically avoid people or obstacles.

The exhibition will also feature the Edge R2R (Robot-to-Robot) Agent, which operates in actual customer environments. The Edge R2R Agent fulfills three core roles: providing integrated services for heterogeneous robots; orchestrating all agents and legacy systems on site; and executing missions through real-time linkage with the platform.

The K RaaS Order & Delivery Agent enables AI agents to collaborate on the entire process from order placement to robot delivery. When a user places an order via chat on the mobile app, the Order Agent analyzes the intent and requests delivery through the platform, which then assigns a suitable robot. The robot autonomously navigates by integrating with various facility systems such as elevators and security gates, and customers can track the real-time location and status of their order. Throughout this process, the platform, Edge, VLA, and robots operate as a single ecosystem.

KT plans to emphasize during the exhibition that K RaaS is a field-oriented platform where AI understands and optimizes the physical world. Seungpil Oh, Head of Technology Innovation at KT (Vice President), stated, "K RaaS is structured to learn from data generated in the field using neural networks, and to apply these learnings to improve service quality and optimize operations. As learning and execution are repeated, performance will continually improve, and we aim to expand this virtuous cycle physical AI system across industries such as manufacturing, logistics, and buildings."

This content was produced with the assistance of AI translation services.