Professor Youngjae Jang of KAIST is leading the transformation of smart manufacturing through multi-robot autonomous manufacturing software capable of orchestrating more than 1,000 robots. Based on AI reinforcement learning, Professor Jang developed technology that enables robots to perceive their environment and collaborate autonomously, addressing material flow bottlenecks and maximizing productivity in advanced manufacturing sectors such as semiconductors and secondary batteries. Drawing on his industry experience at Micron, Professor Jang founded DAIM Research with his students in 2020 and has since focused on building an autonomous manufacturing ecosystem where machines continuously optimize their own operations, going beyond conventional automation.

DAIM Research is currently supplying its solutions to leading advanced manufacturing companies in Korea and overseas, delivering measurable improvements in operational efficiency while reducing investment costs. CEO Jang emphasizes that the role of an engineering professor is to create value by applying knowledge to transform industries. Building on the company's proprietary autonomous navigation and orchestration technologies, CEO Jang stated that he aims to grow DAIM Research into a global leader in smart factory software while driving the digital transformation of Korea's manufacturing industry.