Private Network Check Readiness - TeckNexus Solutions

SK Telecom Showcases AI-Powered Indoor Robots with Telco Edge AI

SK Telecom recently completed a two-month trial of its autonomous indoor robots, showcasing the potential of its Telco Edge AI infrastructure. The trial demonstrated how AI-powered robotics can navigate complex indoor environments with enhanced precision, security, and efficiency. SK Telecom's Visual Localization and Mapping (VLAM) technology played a key role in real-time navigation, enabling the robots to perform tasks like product transport with high accuracy. The success of this trial paves the way for broader applications of Telco Edge AI across various industries, as SK Telecom aims to drive innovation in manufacturing, logistics, and beyond. The company's efforts align with its vision of leading 6G and AI integration, setting new industry standards.
SK Telecom Showcases AI-Powered Indoor Robots with Telco Edge AI
Image Credit: SK Telecom

Innovative Edge AI Technology Enhances Autonomous Robots’ Efficiency, Security, and Battery Life

SK Telecom has recently showcased the future of autonomous indoor robotics through a successful two-month trial of its autonomous driving robot technology. This trial was powered by SK Telecom’s advanced Telco Edge AI infrastructure, which promises to revolutionize how indoor robots perform in complex environments. Conducted at the company’s Pangyo building, located just south of Seoul, the trial focused on optimizing the performance of robots designed for indoor product transport and delivery, where high-precision positioning is paramount.


The robots used in the trial were outfitted with an array of sensors, including cameras and Inertial Measurement Units (IMUs), which enabled them to autonomously navigate the intricate layout of SK Telecom’s headquarters. These advanced sensors, coupled with sophisticated AI technology, allowed the robots to adapt to the dynamic and complex indoor environment with remarkable accuracy.

Enhanced Navigation with SK Telecom’s Visual Localization and Mapping Technology

A key component of the trial was SK Telecom’s Visual Localization And Mapping (VLAM) technology. This innovative image-based sensor fusion system was critical in supporting the stable movement of the robots in challenging indoor settings. VLAM integrates data from the robots’ sensors to create precise maps of the surroundings, enabling real-time navigation and obstacle avoidance. This technology not only enhances the robots’ ability to navigate complex environments but also opens up new possibilities for deploying autonomous robots in various industrial settings where accuracy and reliability are essential.

Telco Edge AI Infrastructure: Redefining Autonomous Robotics

The success of this trial underscores the transformative potential of SK Telecom’s Telco Edge AI infrastructure. By processing data locally at the edge, rather than relying solely on cloud-based systems, the Telco Edge AI infrastructure significantly reduces the computational burden and latency typically associated with cloud processing. This approach ensures real-time AI inference, which is crucial for the seamless operation of autonomous robots.

Moreover, the Telco Edge AI infrastructure allows for a more efficient and cost-effective deployment of vision AI capabilities. Traditional on-device AI equipment can be expensive and resource-intensive, but SK Telecom’s infrastructure offers a scalable alternative that reduces costs while enhancing performance. The ability to process data locally also enhances data security, as it minimizes the need to transmit sensitive information to centralized servers, thereby reducing the risk of data breaches.

Ryu Tak-ki, the head of SK Telecom’s infrastructure technology division, highlighted the broader implications of this successful demonstration. “This trial lays the groundwork for applying Telco Edge AI-based security technology and low-latency services across various industries,” Ryu stated. The infrastructure is expected to lower the costs associated with robot manufacturing, extend the battery life of autonomous robots, and enable the execution of complex tasks that require high-performance AI calculations.

SK Telecom’s Vision: Expanding the Reach of Autonomous Robotics

Building on the success of this trial, SK Telecom has ambitious plans to leverage its Telco Edge AI technology across multiple industries. The company is exploring the development of new business models that capitalize on the unique capabilities of its infrastructure, with a particular focus on sectors such as manufacturing, logistics, and service industries. By integrating AI with telecommunications, SK Telecom aims to drive innovation and efficiency in these sectors, enabling more intelligent and adaptable robotic solutions.

To support this vision, SK Telecom plans to establish a comprehensive testbed for evaluating and refining edge AI-based technologies, products, and services. This testbed will serve as a critical resource for ongoing research and development, allowing the company to continuously enhance its offerings and explore new applications for its technology.

Furthermore, SK Telecom is committed to fostering collaboration between telecom operators, manufacturers, and other stakeholders in the ecosystem. By working together, these entities can accelerate the adoption of edge AI technology and ensure that it meets the diverse needs of various industries.

Leading the 6G and AI Revolution: SK Telecom’s Pioneering Efforts

SK Telecom’s efforts in advancing Telco Edge AI are part of a broader strategy to lead the evolution of 6G technology. The company envisions a future where AI is seamlessly integrated with wired and wireless infrastructure, adding new value to telecommunications networks. This convergence of communications and AI will not only enhance the capabilities of autonomous robots but also pave the way for a wide range of new services and applications.

Ryu Tak-ki emphasized the importance of this vision, stating, “We will lead the evolution of 6G AI wired and wireless infrastructure by integrating communications and AI. Our focus will be on technology development, global standardization, and fostering ultra-cooperation.” By positioning itself at the forefront of 6G and AI integration, SK Telecom aims to set new standards for the industry and create a more connected, intelligent world.

Conclusion: A New Era for Autonomous Robots

The successful demonstration of SK Telecom’s autonomous driving robot technology, powered by Telco Edge AI infrastructure, marks a significant milestone in the evolution of indoor robotics. By reducing costs, enhancing efficiency, and improving data security, SK Telecom is paving the way for a new era of autonomous robots that can perform complex tasks with greater precision and reliability.

As SK Telecom continues to innovate and expand its edge AI capabilities, the potential applications for this technology are vast. From manufacturing and logistics to service industries, the integration of AI with telecommunications is set to transform how businesses operate, driving greater efficiency and creating new opportunities for growth. With its commitment to leading the development of 6G and AI integration, SK Telecom is poised to shape the future of autonomous robotics and beyond.


Recent Content

At the WAIC in Shanghai, China proposed creating a global AI organization to establish shared governance standards and ensure equitable AI access. Premier Li Qiang emphasized balancing innovation with security while signaling Beijing’s ambition to position Shanghai as a global AI hub. The move highlights rising US-China tech tensions and the growing geopolitical weight of AI governance.
The world of wireless connectivity is evolving at an unprecedented pace, with private 5G networks, next-generation 6G innovations, and seamless WiFi-5G integration shaping industries from aviation to maritime logistics.
At Manchester’s UK Space Conference, I discovered space companies drowning in data while ignoring the AI solutions that could save them. Between dodging aggressive panhandlers and debating whether NVIDIA chips belong in orbit, I learned that “Gas Stations in Space” is brilliant marketing, and why most space executives still think like graduate students.
Nokia is shifting its core focus from mobile networks to AI infrastructure and optical networking amid declining RAN revenues and financial pressures. In Q2 2025, the Network Infrastructure division surpassed Mobile Networks, driven by demand from data centers and hyperscalers. With CEO Justin Hotard emphasizing AI integration and enterprise 5G, Nokia is repositioning itself for long-term growth while maintaining its mobile presence as a strategic layer.
As Nokia’s licensing deal with HMD Global winds down, the Finnish company is exploring new partnerships to revive its iconic phone brand. In a low-key Reddit post, Nokia confirmed it’s seeking a large-scale mobile manufacturer to carry forward its legacy. With nostalgia still alive and brand equity intact, Nokia’s next move could reshape its place in the mobile market, if the right partner emerges.
Telefónica Tech has partnered with Perplexity to launch Perplexity Enterprise Pro, a secure AI-powered search tool for businesses in Spain. Designed for enterprise use, the platform enables advanced, real-time knowledge discovery, integrates SSO and SOC2 protections, and respects data privacy. Telefónica offers pilots and full professional services to support implementation—targeting productivity boosts in sectors like healthcare, finance, and law.
Whitepaper
Dive deep into how Radisys Corporation is navigating the dynamic landscape of Open RAN and 5G technologies. With their innovative strategies, they are making monumental strides in advancing the deployment and implementation of scalable, flexible, and efficient solutions. Get insights into how they're leveraging small cells, private networks, and strategic...
Whitepaper
This whitepaper explores seven compelling use cases of AI-infused automated service assurance solutions, encompassing anomaly detection, automated root cause analysis, service quality enhancement, customer experience improvement, network capacity planning, network monetization, and self-healing networks. Each use case explains how AI, when embedded in a tailored assurance solution powered by extensive...
Radcom Logo

It seems we can't find what you're looking for.

Download Magazine

With Subscription

Subscribe To Our Newsletter

Private Network Awards 2025 - TeckNexus
Scroll to Top

Private Network Awards

Recognizing excellence in 5G, LTE, CBRS, and connected industries. Nominate your project and gain industry-wide recognition.
Early Bird Deadline: Sept 5, 2025 | Final Deadline: Sept 30, 2025