South Korean telecommunications firm SK Telecom has efficiently demonstrated autonomous driving robotic know-how utilising its Telco Edge AI infrastructure.
Telecom Review Asia reported that the check was accomplished at SK Telecom’s Pangyo constructing in South Seoul over a interval of two months. Its goal was to showcase the potential of this resolution for indoor product transport and supply robots that require high-precision positioning.
An array of superior sensors, together with cameras and Inertial Measurement Items, was used to equip the check robots. With the assistance of this know-how, the robots have been in a position to transfer with excessive precision inside SK Telecom’s headquarters, which has a posh inside. Such excessive precision in robotic movement was achieved by the corporate’s use of its personal Visible Localisation and Mapping know-how, or VLAM. VLAM is a novel image-based sensor fusion positioning system that ensures safe robotic motion in complicated environments.
SK Telecom’s Telco Edge AI was used on this demonstration. The corporate designed the system to cut back the computational load on cloud servers whereas enabling real-time AI inference. On this case, the worth proposition of cellular networks has been enhanced by SK Telecom’s Telco Edge AI. In line with SK Telecom, this technique might change the presently used costly on-device imaginative and prescient AI gear, providing an answer that’s inexpensive, safer, and extra scalable.
A key advantage of this technique is that it might course of knowledge on the edge, avoiding the problem of transmitting delicate particular person data over community protocols to a central server. Therefore, this methodology vastly helps defend private data. On the identical time, because of the decentralised nature of IoT methods and networks, nearly all of them would profit from considerably improved safety, which in flip would improve privateness safety as a everlasting facet impact.
In line with Ryu Tak-ki, the top of the infrastructure know-how division at SK Telecom, “Now we have laid the muse for making use of Telco Edge AI-based safety know-how and low-latency companies to numerous industries.” Moreover, the corporate believes that its Telco Edge AI infrastructure will assist cut back the prices of manufacturing robots and making batteries extra environment friendly, in addition to increase automation duties that require high-performance AI calculations.
Wanting forward, SK Telecom has bold plans to develop varied enterprise fashions primarily based on its Telco Edge AI know-how. The corporate is focusing on innovation throughout manufacturing, logistics, and repair industries. To additional advance this know-how, SK Telecom intends to determine a devoted testbed for evaluating edge AI-based applied sciences, merchandise, and companies.
Ryu additionally talked about the corporate’s latest efforts to foster additional area analysis and shut collaboration between operators and producers. His imaginative and prescient for the long run is clearly articulated: “We’ll lead the evolution of 6G AI wired and wi-fi infrastructure that provides new worth by converging communications and AI when it comes to know-how growth, international standardisation, and ultra-cooperation.”
(Picture by LATUPEIRISSA)
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