This is a past event.

ME-EM Virtual Graduate Seminar Speaker Series

proudly presents:

Jungyun Bae, PhD

Michigan Technological University

Abstract: Today’s automated systems frequently utilize multiple types of Autonomous Vehicles (AVs) in a single application. Examples include surveillances in both military and civil applications, transportations in a warehouse or manufacturing setting, as well as explorations that are commonly deployed in rescue, cleaning, or monitoring operations. One of the essential sub-problems that need to be solved in order for heterogeneous AV systems to operate successfully is identifying efficient job assignments and sequences that can make the most of each AV’s advantage. In addition, a path planning problem that finds the efficient route for each vehicle in a given sequence and a scheduling problem that determines the time of arrival and time of departure for each vehicle to avoid collisions between the agents must be simultaneously considered. During the talk, an idea of solving the problem based on the primal-dual technique will be introduced using examples of real-life applications. By deploying a mathematical approach, good-quality feasible solutions can be produced within relatively short computational time, and a constant number of solution quality guarantee can be proven for a special case. In addition to path planning problems, localization and mapping using Lidar sensors, precision position control for mobile robots will be introduced.

Bio: Dr. Jungyun Bae is an assistant professor in the Department of Mechanical Engineering-Engineering Mechanics and Applied Computing, Michigan Tech. Prior to joining Michigan Tech, she was a research professor in the Intelligent and Robotics Systems Laboratory at Korea University, Seoul, South Korea, for two years. She received her Ph.D. in Mechanical Engineering from Texas A&M University, College Station in 2014, and M.S. and B.S. degrees in Mechanical Engineering from Hongik University, Seoul, South Korea, in 2007 and 2005, respectively. She worked as a researcher at the Korea Institute of Industrial Technology for a year before pursuing a Ph.D. degree. Her main area of research focuses on Autonomous Vehicles, especially with the coordination of multiple heterogeneous vehicles. Her recent research has focused on developing efficient dispatching and routing algorithms for heterogeneous mobile wheeled robots in various applications, such as transportation, surveillance, and monitoring. She is also working on autonomous navigation for mobile robots with multiple sensors while aiming for stabilized navigation in snowy areas. In 2019, she received “the most downloaded article award from 2017 to 2018” from the International Journal of Precision Engineering and Manufacturing (IJPEM) and “the outstanding paper award” from the international conference on Ubiquitous Robots (UR). She served as an associate editor for the International Conference on Robotics and Automation (ICRA) 2020 and serving as a reviewer for multiple international journals and conferences in the robotics and operational research area.

Invited by: Radheshyam Tewari