jasdooit

LG CNS Chief Executive Hyun Shin-gyoon addressed journalists at the ‘CES 2026’ conference in Las Vegas on the 7th, local time, stating, “Robots will be completely integrated into manufacturing lines within two years.”

The CEO stated, “Given the current speed of technological advancement, I think that within approximately two years, many production lines will be using robots actively. For robots to be widely used, it’s not just the technology of the robots themselves that needs to develop, but also the entire infrastructure of the field must be set up simultaneously.” He further explained, “It requires at least one year to construct a production line and another year to coordinate component suppliers throughout the entire supply chain. Within two years, different kinds of robots—such as bipedal, quadrupedal, and mobility robots—will be implemented in both manufacturing sites and daily life.”

LG CNS handles the entire process, from robot training and testing to validation. Once advanced robots are deployed in the field, it offers a comprehensive (End-to-End) service that includes integrated control, operation, maintenance, and repairs. He stated, “LG CNS takes well-established robots and those with general intelligence and trains them to adjust to specific environments. We gather robot training data from the field, use this data to enhance general robot intelligence, and oversee the robots as they function or operate on-site.” He further mentioned, “Many companies are making significant investments, so general software intelligence will develop quickly. The main challenge is adapting these technologies for real-world applications.” This suggests that, similar to how a new graduate cannot immediately manage fieldwork, the capability to rapidly and efficiently train robots is essential.

Concerning mergers and acquisitions, the CEO mentioned, “We are consistently looking for appropriate targets” and “we are exploring M&A opportunities with several companies in different sectors, not limited to one specific company.” Regarding acquiring GPUs (graphics processing units), he noted, “Although we have some, we don’t see them as essential. We rely on GPUaaS (GPU-as-a-Service) providers to obtain GPUs when required.” The approach includes ensuring a basic quantity of GPUs and addressing any shortfalls through device-based processing or cloud-based options.