Jaewon Lee

Department of Electrical and Computer Engineering

Seoul National University
1 Gwanak-ro, Gwanak-gu
Seoul 08826, Korea

Office: Building 133 Room 610
Phone: +82-2-880-1512
Email: jaewon.lee (at) rllab.snu.ac.kr

Jaewon Lee is a Ph.D. candidate in the Department of Electrical and Computer Engineering at Seoul National University, South Korea. He received a B.S. degree in Electrical and Computer Engineering and Naval Architecture and Ocean Engineering (double major) from Seoul National University in 2023. His research interests are robotics and machine learning.

Publications

  • Jaewon Lee, Jae Seok Heo, Gunmin Lee, Howoong Jun, Jeongwoo Oh, and Songhwai Oh, "RVN-Bench: A Benchmark for Reactive Visual Navigation," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Sep. 2026. (Accepted)

Experiences

  • Aniai, Robotics Engineer (Internship)                                                                                                                                            Dec 2021 - Aug 2022
  • Educast, Data Engineer (Internship)                                                                                                                                             Sep 2020 - Feb 2021
  • DSME, Data Engineer (Intership)                                                                                                                                                    Jan 2020 - Feb 2020

Awards

  • 1st Place, NEMOTHON | Kakao Mobility Corp.                                                                                                                                Sep 2023
  • 1st Place (Teleoperation), Korea Autonomous Boat Competition | The Society of Naval Architects of Korea             Aug 2022

Teaching Experiences

Teaching Assistant

  • (430.457) Introduction to Intelligent Systems                                                                                                                              Fall 2023
  • (M2177.004900) Theory and Lab of IoT, AI, and Big Data                                                                                                            Fall 2023