Assistant Professor at Dongguk University – Seoul, South Korea
Yu-Cheol Lee is an accomplished researcher and assistant professor in the Department of Information and Communication Engineering at Dongguk University, South Korea. He holds a Ph.D. in Robotics from the Korea Advanced Institute of Science and Technology (KAIST) and has extensive academic and industry experience in robotics and artificial intelligence. His research focuses on autonomous navigation, AI robotic vision, and learning, contributing significantly to the fields of localization, mapping, and reinforcement learning. With a robust publication record and numerous accolades, including the Outstanding Young Researcher Award, Lee is recognized for his innovative work in the development of intelligent robotic systems. He actively collaborates on projects aiming to enhance robot autonomy and human-robot interaction, solidifying his reputation as a leader in the robotics research community.
Professional Profile
Education
Yu-Cheol Lee received his Bachelor of Science degrees in Mechanical Engineering and Electrical and Electronic Engineering from Yonsei University in February 2004. He then pursued a Master of Science in Mechanical Engineering at Pohang University of Science and Technology (POSTECH), graduating in February 2006. Lee further advanced his studies at the Korea Advanced Institute of Science and Technology (KAIST), where he completed his Ph.D. in the Robotics Program in February 2020. His educational background, characterized by a dual focus on mechanical and electrical engineering, laid a strong foundation for his innovative research in robotics and artificial intelligence. Lee has received multiple scholarships during his academic journey, including the Brain Korea 21 Scholarship and the Hyundai Heavy Industry Co. Scholarship, which recognize his exceptional potential and commitment to advancing engineering and robotics.
Professional Experience
Yu-Cheol Lee has a diverse and rich professional background, currently serving as an assistant professor in the Department of Information and Communication Engineering at Dongguk University since March 2023. Before this, he was an assistant professor at the Korea Aerospace University and the University of Science and Technology, contributing to the fields of autonomous vehicle engineering and artificial intelligence. Lee has also held significant roles at the Electronics and Telecommunications Research Institute (ETRI), where he was a principal researcher and senior researcher from 2021 to 2022 and 2013 to 2020, respectively. His international experience includes a tenure as a visiting scholar in the Department of Computer Science at Stony Brook University in New York. Lee’s extensive industry experience and academic involvement have allowed him to lead and participate in various high-impact research projects, fostering advancements in intelligent robotic systems and autonomous navigation technologies.
Research Interest
Yu-Cheol Lee has received numerous accolades throughout his academic career, reflecting his contributions to robotics and engineering. Notably, he was honored with the Outstanding Young Researcher Award in July 2020 from the Institute of Control, Robotics and Systems, recognizing his innovative work in the field. His commitment to excellence has also earned him several best paper and poster awards, including the Best Poster Award at the Institute of Control, Robotics and Systems Annual Conference in May 2015 and the Outstanding Paper Award at the International Conference on Ubiquitous Robots and Ambient Intelligence in October 2009. In addition, Lee received the Best Paper Award at the IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications in October 2008. His academic achievements are further supported by scholarships such as the Hyundai Heavy Industry Co. Scholarship and the Brain Korea 21 Scholarship, showcasing his dedication to advancing research and education in robotics.
Award and Honor
Yu-Cheol Lee’s research focuses primarily on autonomous navigation and AI robotic vision, encompassing a range of innovative areas including localization, mapping, and simultaneous localization and mapping (SLAM). He is particularly interested in developing robust path planning and obstacle avoidance techniques, utilizing sensor fusion and multi-robot scheduling to enhance robot autonomy in complex environments. His work in reinforcement learning aims to improve end-to-end navigation systems, enabling robots to learn from interactions with their surroundings and adapt to dynamic scenarios. Lee’s research also includes 3D map construction and object detection, contributing to advancements in robotic vision technologies. His ongoing projects involve the integration of AI into automation processes for various sectors, including shipbuilding, aviation, and construction. By addressing critical challenges in robotic navigation and learning, Lee aims to pave the way for more intelligent and efficient robotic systems that can effectively operate alongside humans.
Conclusion
Yu-Cheol Lee is a highly suitable candidate for the Best Researcher Award. His extensive education, significant research contributions, recognition in the field, and ongoing projects in AI and robotics position him as a leader in his area. By addressing some areas for improvement, particularly in outreach and interdisciplinary collaboration, he can further enhance his impact in the research community. Therefore, he deserves strong consideration for this award, reflecting his dedication to advancing knowledge and technology in autonomous navigation and robotics.
Publication top noted
- Mobile robot with returning mechanism
Authors: C Sunglok, WH Yun, JH Park, S Park, YU Wonpil, YC Lee
Year: 2015
Citations: 32
- Method and system for creating indoor environment map
Authors: YC Lee, SI Na, WP Yu, KS Han
Year: 2016
Citations: 26
- Sonar grid map based localization for autonomous mobile robots
Authors: YC Lee, W Yu, JH Lim, WK Chung, DW Cho
Year: 2008
Citations: 21
- Identification of novel reference genes using multiplatform expression data and their validation for quantitative gene expression analysis
Authors: MJ Kwon, E Oh, S Lee, MR Roh, SE Kim, Y Lee, YL Choi
Year: 2009
Citations: 21
- Sonar map construction for autonomous mobile robots using a data association filter
Authors: YC Lee, JH Lim, DW Cho, WK Chung
Year: 2009
Citations: 18
- Trajectory generation method using Bézier spiral curves for high-speed on-road autonomous vehicles
Authors: B Park, YC Lee, WY Han
Year: 2014
Citations: 17
- Method and apparatus for recognizing indoor location using received signal strength intensity map
Authors: YC Lee
Year: 2016
Citations: 16
- RSSI-based fingerprint map building for indoor localization
Authors: YC Lee, SH Park
Year: 2013
Citations: 16
- Method of and apparatus for creating map of artificial marks, and method and apparatus for measuring position of moving object using the map
Authors: YC Lee
Year: 2011
Citations: 16
- Evaluation of features through grid association for building a sonar map
Authors: SJ Lee, DW Cho, WK Chung, Y Lee, JH Lim, CU Kang, WS Yun
Year: 2006
Citations: 15
- 3D map building method with mobile mapping system in indoor environments
Authors: YC Lee, SH Park
Year: 2013
Citations: 14
- Artificial landmark map building method based on grid SLAM in large scale indoor environment
Authors: YC Lee, C Christiand, H Chae, W Yu
Year: 2010
Citations: 14
- Apparatus and method for recognizing position of moving object
Authors: YC Lee, SH Kim
Year: 2014
Citations: 13
- Adaptive localization for mobile robots in urban environments using low-cost sensors and enhanced topological map
Authors: YC Lee, W Yu, JI Cho
Year: 2011
Citations: 13
- Apparatus and method for establishing route of moving object
Authors: YC Lee, MC Roh, J Byun, KI NA, SH Kim
Year: 2013
Citations: 12
