Robotics and AI Navigation Lab
NOTICE
We are looking for highly motivated graduate or undergraduate students who are interested in the research themes: Autonomous Navigation and AI Robotic Vision & Learning. If you would like to join us, please contact us yulee@dongguk.edu. Regardless of your major, our goal is to enjoy research with passionate colleagues in an academic atmosphere. For reference, graduate students in our laboratory receive support for full tuition, monthly stipends, conference participation expenses, and others.
연구실 소개자료, 주요 연구테마를 읽어보고 우리 연구실에 관심있고 함께하고 싶은 분은 언제든 아래 링크 또는 yulee@dongguk.edu 로 연락 주세요. 전공에 상관없이 열정이 가득한 동료들과 학구적 분위기 속에서 즐겁게 연구하는 것이 연구실의 가장 큰 목표입니다. 참고로, 본 실험실에서는 대학원 학생들에게 기본적으로 등록금 전액, 인건비, 학회 참가비 등을 지원합니다.
대학원 신입생: 지원서 링크
학부 연구생: 지원서 링크
RECENT NEWS
09/2024: Prof. Yu-Cheol Lee has been appointed as editor of ETRI Journal.
09/2024: We are delighted to congratulate Minseok Kim on his undergraduate graduation and warmly welcome him to the lab as a new master’s student.
08/2024: We have scheduled a rafting trip on the Hantan River as part of our summer workshop.
07/2024: We have successfully wrapped up the second educational program about autonomous navigation, hosted by the Dongguk University Engineering Certification Center.
06/2024: We have been awarded a new project from JNE Works Co. focused on LiDAR recognition and SLAM for unmanned forklifts.
06/2024: We have obtained new project funding from ETRI for the autonomous anchoring and departure of unmanned surface vehicles.
04/2024: RAIN Lab's introduction was featured in the Institute of Control and Robotics Systems.
04/2024: Congratulations to Mr. Hyung-Nam Cho for being chosen as a scholarship recipient by the Mirae Asset Hope Foundation.
03/2024: We have been awarded a new research fund from Hanwha Ocean.
01/2024: We extend a warm welcome to Mr. Jiwoo Jung, who has joined our laboratory as a new student in the master's program.
12/2023: We have accomplished the objectives of the research project supported by Hanwha Ocean Co.
11/2023: My paper has been accepted for publication in Expert Systems With Applications (JCR 6.4%, IF 8.5 in 2022).
11/2023: Our paper has been officially published in print within IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI).
09/2023: We are pleased to join us four new members in the integrated Bachelor and Master program: Jaemin Song, Hyung-Nam Cho, Minseok Kim, and Seung Joo Han.
08/2023: We have concluded a summer school on autonomous navigation (ROS2) and artificial intelligence (PyTorch), organized by the RAIN Lab, spanning four weeks.
07/2023: We have successfully conducted an educational program about autonomous navigation, organized by Engineering Certification Center at Dongguk University.
06/2023: We warmest welcome Ms. Ye-Rim Kim, as the second member of the master's program in our lab.
06/2023: We extend our heartfelt congratulations to the research interns on the third prize at the International Competition of EV Autonomous Driving for Univ. Students.
04/2023: We have been awarded two new research funds, one from Daewoo Shipbuilding & Marin Engineering and the other from Ministry of Trade, Industry, and Energy.
03/2023: We warmly welcome Mr. Dong-Hyung Kim, the first student in our lab, who has commenced his academic journey in the master's program.
03/2023: Prof. Yu-Cheol Lee joined the facultiy in the Dept. of Information Communication Engineering at Dongguk University.
RESEARCH TOPICS
Autonomous Navigation: Localization; Mapping; SLAM; Path planning; Obstacle avoidance; Sensor fusion, Multiple robot schedule
AI Robotic Vision & Learning: End-to-end navigation; Reinforcement learning; Object detection; 3D Map construction
SELECTED PUBLICATIONS
List of papers
Yu-Cheol Lee†, "LSMCL: Long-term Static Mapping and Cloning Localization for Autonomous Robot Navigation Using 3D LiDAR in Dynamic Environments," Expert Systems With Applications, vol. 241, 122688, pp.1-12, 2024. DOI
Jinghuan Shang, Xiang Li, Kumara Kahatapitiya, Yu-Cheol Lee†, Michael Ryoo†, "StARformer: Transformer with State-Action-Reward Representations for Robot Learning," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 45, No. 11, pp. 12862-12877, 2023. DOI
Yu-Cheol Lee†, “SRS: Spatial-Tagged Radio-Mapping System Combining LiDAR and Mobile-Phone Data for Indoor Location-Based Services,” Advanced Engineering Informatics, vol.52, 101560, pp.1-12, 2022. DOI
Yu-Cheol Lee and Hyun Myung†, “Hierarchical Sampling Optimization of Particle Filter for Global Robot Localization in Pervasive Network Environment,” ETRI Journal, Vol.41, No.6, pp.782-796, 2019. DOI [Inforgraphics]
Yu-Cheol Lee and Hyun Myung†, "Indoor Localization Method based on Sequential Motion Tracking Using Topological Path Map," IEEE Access, vol.7, no.1, pp.46187-46197, 2019. DOI
Yu-Cheol Lee, Wonpil Yu, Jong-Hwan Lim†, Wan-Kyun Chung and Dong-Woo Cho†, “Sonar Grid Map Based Localization for Autonomous Mobile Robots,” in Proc. of IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), pp.558-563, Beijing, China, 2008. [Best Paper Award] DOI
Registered Patents [by nation]
List of patents
Yu-Cheol Lee, "Method And Apparatus for Recognizing Indoor Location Using Received Signal Strength Intensity Map," USA Patent: 9374674.
Yu-Cheol Lee, SangIk Na, Wopil Yu, KyuSeo Han, "Method And System for Creating Indoor Environment Map," Korea Patent: 0883520, USA Patent: 9310807, Japan Patent: 5400044.
Yu-Cheol Lee, Wonpil Yu, Sangik Na, Hyo-Sung Ahn, "Surroundings Mapping Apparatus Capable of Applying Quickly Changed Surroundings Information in Mobile Robot And Method Thereof," Korea Patent: 0823739, EPO Patent: 2094452, Germany Patent: 602007028472.4, Japan Patent: 5048077.