AI & Enterprise

KAIST develops quadruped robot technology that changes walking strategy on its own

KAIST said a mechanical engineering team has developed core control technology that allows a quadruped robot to choose and switch in real time among walking, running and jumping. The team used simulation to generate 15.5 hours of training data in 8 minutes and applied reinforcement learning so the robot could select gaits on complex terrain. Tests on the KAIST Hound included indoor courses, campus areas and forest paths, with a peak speed of 6 metres per second on rough ground.

AI & Enterprise

NIA begins building \'Hyper AI Network\' for industrial sites with SKT, KT participation

South Korea\'s National Information Society Agency is working with mobile operators, manufacturers and AI companies to build a Hyper AI pilot network based on 5G standalone mode and AI-RAN technology. SK Telecom and KT will lead separate consortia to build AI-based next-generation networks at industrial sites and demonstrate physical AI services using robots. The 17.2 billion won project aims to verify network performance and support commercialisation of ultra-low latency, high-capacity services.