Yueyuan Zhang received her B.S. degree in communication engineering from Yanbian University, China, and an M.S. degree in electronics engineering from Pusan National University, Korea, in 2017 and 2019, respectively. From 2019 to 2020, she was an engineer with Bright Dream Robotics. Since 2021, she has been a Ph. D student in the Department of Electrical and Computer Engineering atSungkyunkwan University. Her research interests include adaptive control theory, path planning and impedance control.
Yechan An received a B.S. from the Department of Electronic Engineering at Kumoh National Institute of Technology, Gumi, in 2021, and an M.S. from the Department of Electrical and Computer Engineering at Sungkyunkwan University, Suwon. He is currently pursuing a Ph.D. degree in Electrical, Electronics, and Computer Engineering at Sungkyunkwan University. His research interests include multi-robot planning and control, autonomous vehicle control, and multi-vehicle driving. His work focuses on vehicle-to-vehicle (V2V) and vehicle-to-everything (V2X) communication-based path planning and cooperative driving strategies. In particular, he is interested in developing autonomous driving technologies, researching communication techniques for seamless cooperative driving between vehicles, and utilizing these methods for motion control. Additionally, he develops multi-vehicle information-sharing and cooperative driving algorithms to enable safe and efficient autonomous driving.
Kyeong-Jin Joo received a B.S. from the Department of Electronic Engineering at Dong-A University, South Korea, in February 2021. Since March 2021, he has been an integrated Ph.D. candidate at the Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, South Korea. His research interests include intelligent robotics, computer vision, and foundation models for robots.
Sangmin Kim received his B.S. in Intelligent Robotics Engineering from Mokwon University in 2021, and he completed his doctoral coursework in 2025 at Sungkyunkwan University’s Department of Electrical and Computer Engineering. Between 2020 and 2024, he gained extensive research and industry experience in deep learning, robotics software development, and control systems. Since January 2025, he has served as the Team Leader at CASELab Co., Ltd., where he directs projects in defense robotics, real-time communication systems, and image recognition technologies. To date, he has authored nine peer-reviewed publications, and his research interests encompass robotics control, computer vision, deep learning applications, and the integration of advanced systems for national defense. He has received accolades such as the Presidential Award at the Digital New Technology Core Practitioners Training Hackathon in 2021.
Tae-Yong Kuc received his B.S. in control and instrumentation engineering from Seoul National University, South Korea, in 1988, and his M.S. and Ph.D. from the Pohang University of Science and Technology, South Korea, in 1990 and 1993, respectively. In 1993, he worked as a Chief Research Engineer at the Precision Machinery Institute of Samsung Aerospace Company. Since 1995, he has been with the School of Electrical and Electronics Engineering, Sungkyunkwan University, where he is currently a professor. His research interests include intelligent robotics, adaptive and learning control, and visual sensor processing for computer-aided control systems.
