공지사항

Date: 2024. December 11
Time: 2 pm
Location: Building 110, Room N104

Seminar Title: Uncertainty-aware Planning and Control for Safe Mobility System
Speaker: Prof. Cheolhyeon Kwon / UNIST
Host: Jooyong Yi

Abstract:

As the intelligent mobility systems such as autonomous vehicles, drones, and unmanned mobile robots are rapidly expanding, the increased complexities of the system and operating environment bring about new challenges in ensuring the safety of the mobility system. In particular, uncertainties within the internal components or the external operating environment make it difficult to predict the behavior and potential threats of the mobility system, and as a result, they are becoming a major distraction to assure the mobility systems.

In this talk, I will discuss: 1) the properties of various uncertainties that may occur during the operation of a mobility system within different application domains; 2) quantify these uncertainties by addressing them in the planning and control context of the system autonomy; and 3) suggest methods to effectively respond to the corresponding uncertainties, thereby establishing the foundation for a safe and reliable mobility system. Two case studies will be presented, related to uncertainties in predicting surrounding objects.

Bio:

Prof. Cheolhyeon Kwon is an Associate Professor in the Department of Mechanical Engineering at UNIST. Prof. Cheolhyeon Kwon received a BS degree in Aerospace Engineering from Seoul National University, Seoul, South Korea, in 2010, and an MS degree and PhD from the School of Aeronautics and Astronautics, Purdue University, West Lafayette, IN, USA, in 2013 and 2017, respectively. He is currently an assistant professor with the Department of Mechanical Engineering, UNIST, Ulsan, South Korea, and the director of the High-assurance Mobility Control laboratory. His research interests include control and estimation for dynamical cyber-physical systems (CPS), networked intelligent autonomy, and multi-agent system networks. His research goal is to pursue high assurance CPS design in view of control and estimation theory foundation, with applications to systems with mobility, such as autonomous driving, advanced air mobility, etc.