제어 및 지능형 시스템 연구실

We develop methods for reliable and safe learning-based intelligent systems, addressing provable safety, safety under distribution shifts and uncertainty, and broader AI safety challenges. We develop collaborative intelligence platforms, or operation centers, that integrate information from distributed and heterogeneous sensors, and provide coordinated guidance to diverse autonomous agents for safer and more efficient operation. The Smart City Project utilizes a scaled-down map of real-world intersections at a 1:15 ratio. Consequently, vehicles, infrastructure, and other structures are also reduced to a 1:15 scale, and we refer to this as a "semi-realistic" testbed. This feature distinguishes it from simulations by incorporating realistic sensors, communication, and control noise, providing a more realistic data collection and physical movement experience. Furthermore, the infrastructure, such as traffic lights, is considered "intelligent" with sensors and computing modules. Unlike devices designed for passive control of current traffic flow, this "intelligent" infrastructure actively uses continuous information sharing with vehicles through V2X technology. This approach is pivotal in future technology development, enabling active traffic flow control and cooperative perception. We build intelligent systems that are safe and collaborative. Our research bridges control theory and modern AI, from single agents to large-scale multi-agent systems. 🏆 Sep. Hyeongchan has been selected as a Next-Generation Engineering Researcher supported by IPESK. 🏆 Aug. Bon receives the Encouragement Prize at the 2026 IEEE ITSS Society Korea Chapter Student 3MT Competition. 🏆 Dec. Hyeongchan and Eunjae receive the Excellence Award at the miliTECH Challenge 2025. 🏆 Dec. Seonho, Kangyeon, and