Its goal is to develop core natural technologies for AI, machine learning/dipening, cognitive science, interaction, big data, humanoid, next-generation intelligent robotic services, medical/health and wearable robots. The software department, the interactive science department, the design department, the electronic electrical engineering department, the global BME department, and the mechanical engineering department, are seeking convergence among the departments, and the AI-robot convergence research is a joint lab that enhances the characteristics of AI-robot convergence research. Operations and Co-advisor systems are being introduced.

The courses include the introduction of AI-robot convergence, AI-robot platforms and services, IoT design, big data analysis, AI-robot convergence PBL, and AI-robot convergence seminar. AI-robot convergence entrance and robot platform and service subjects are applied with Team Teaching for the purpose of operating curriculum differentiated from the existing methods, and the robot platform and service subjects are operated by PBL using the intelligence system research center's experimental environment for effective learning of AI-robot convergence process, and AI-robot convergence technology seminars to explore ideas and develop creativity.