As a member of the planning and control team at seoul national university's vehicle intelligence lab, I am focusing on research improving the performance and safety of autonomous robotic platforms. I participate in various private and government projects, where I am responsible for developing and validating algorithms through virtual scenarios that simulate urban and off-road environments, thus building a testbed for autonomous driving systems. As a researcher, I am concentrating on integrating artificial intelligence (AI) learning techniques such as reinforcement learning (RL) and imitation learning (IL) into driving algorithms. By doing so, I lead the technological development to effectively respond to diverse real-world situations. These technologies are crucial components of autonomous driving modules, which are mounted on actual vehicle platforms to improve performance in the field. Here are the details of my expertise and project experience.