Intelligent Manufacturing & Materials Lab. 지능형 생산 및 소재 연구실

Artificial intelligence (AI) is spreading globally as rapidly as the internet technologies we are so familiar with. While simple, repetitive physical tasks have already been replaced by automation through robotics, artificial intelligence now demonstrates the potential to handle far more complex and sophisticated tasks that were previously considered the domain of skilled human expertise. In fact, AI is even solving problems that are so intricate they were beyond human capability. In the manufacturing industry, a cornerstone of our nation’s economy, AI goes beyond merely addressing inefficiencies caused by human labor. It contributes to maximizing productivity and quality at levels previously unattainable with existing technologies, while also addressing environmental issues. Our research goal is to enhance productivity, product quality, and safety through AI. By analyzing data generated from machinery on manufacturing sites, we are developing solutions in collaboration with academia and industry to boost actual productivity. Furthermore, we are researching AI-based technologies aimed at achieving ultimate autonomous manufacturing, enabling high productivity and quality with minimal human intervention. AI-operated robotic systems are studied for autonomous manufacturing systems. AI-based control methods, such as reinforcement and imitation learning, enable unstructured behavior, allowing robots to independently perceive, evaluate, and act in their environment without human intervention. Complex job tasking in factory can be improved with AI-operated robotic system. Human labor trains AI robots to perform specific tasks, allowing human expertise to enhance the robot’s movements for complex jobs that were previously only possible for humans. AI is actively being used in m