South Korea’s LG CNS sees a growing opportunity as factories around the world begin adding humanoid robots to their floors — and quickly realize that building the machines is only half the challenge. The IT and systems arm of LG Group is positioning itself not just as a maker of robotics systems but as a key partner in training and managing them, helping corporations bridge the gap between raw robot hardware and real-world use.
Executives from LG CNS argue that while robots increasingly come equipped with advanced sensors and AI, they still require site-specific training and ongoing oversight to function effectively on factory lines or in logistics. This need arises because real industrial environments vary widely and robots must be fine-tuned to understand unique workflows, safety rules, language instructions, and interactions with human workers.
Part of LG CNS’s strategy revolves around developing what analysts call “physical AI” — a combination of foundational robot intelligence models with data collected directly from manufacturing and logistics sites. By gathering operational data and feeding it back into learning systems, robots can become more adaptive and useful over time, rather than just following pre-programmed routines.
The company’s efforts reflect a broader trend in robotics where simply building more automatons isn’t enough to guarantee productivity or safety. Success increasingly depends on sophisticated software, continuous training, and integration into existing industrial infrastructure — areas where LG CNS believes it can play a central role.
