Computational Control Engineering Lab (CoCEL)

For specific and intentive research with solid grounding in computing and control engineering, CoCEL has three groups for working on drone, control, and energy. Drone group has focused on the development of autonomous aerial vehicles. For this purpose, 3D omnidirectional depth sensors and autonomous navigation solutions have been developed and further commercialized through startup companies. As foundational research, our interests also span from modeling and controlling of a single drone to coordinating a swarm of drones for mission accomplishment. Control group has worked on developing a variety of control systems for autonomous vehicles and industrial facilities in POSCO. Specially, our research puts much weight on recent state-of-the-art reinforcement learning instead of classical control approaches, to deal with real complicated control problems. In addition, sensor fusion technologies with Lidars, Radars, and cameras have been the important research issues. Energy group is focussing on constructing a sophisticated model of Li-ion batteries to monitor their internal states consistently. To identify model parameters, machine learning based researches have been conducted on a data-driven basis. With the obtained sophisticated battery model, our research interests are directed toward diagnosis and prognosis of battery degradation. Working with a battery company, we have also carried out practical researches with field engineers. Overall, it looks like three groups have different research areas. However, the core technologies are very similar to each other. Recently, we came to realize that researches of three groups are converging and creating synergy effects through mutual cooperation. The development of navigation system and sensor fusion algorithms is critical for