Members

VI Lab

Ph.D Candidates

Hyungsuk Yoon (윤형석)

302 Room 517-1

  • M.S & Ph.D Combined Candidates
  • 02-880-1769
hsyoon94@snu.ac.kr
Research interests
  • Continual learning for robotics
  • Autonomous Driving
  • Path/Action Planning
  • Reinforcement Learning
Publications
  •  [J3] Ji-Hoon Hwang, Daeyoung Kim, Hyung-Suk Yoon, Dong-Wook Kim, and Seung-Woo Seo, "How to Relieve Distribution Shifts in Semantic Segmentation for Off-road Environments", IEEE Robotics and Automation Letters, 2025
  •  [J2] Hyung-Suk Yoon, Ji-Hoon Hwang, Chan Kim, E IN Son, Se-Wook Yoo, and Seung-Woo Seo, ”Adaptive Robot Traversability Estimation Based on Self-Supervised Online Continual Learning in Unstructured Environments”, IEEE Robotics and Automation Letters, 2024

  • [J1] Chan Kim, Jae-Kyung Cho, Hyung-Suk Yoon, Seung-Woo Seo, and Seong-Woo Kim, ”UNICON: Uncertainty-Conditioned Policy for Robust Behavior in Unfamiliar Scenarios”, IEEE Robotics and Automation Letters, 2022 (IROS2022 presentation option)

  • [C5] Hyung-Suk Yoon, and Seung-Woo Seo, "Epistemic Uncertainty-Aware Actor-Critic in Deep Reinforcement Learning", Internation Conference on Electronics, Information, and Communication(ICEIC), 2022

  • [C4] Hyung-Suk Yoon*, Chan Kim*, Seong-Woo Kim and Seung-Woo Seo, "Self-Balancing Online Dataset for Incremental Driving Intelligence", IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS), 2021

  • [C3] Chan Kim*, Hyung-Suk Yoon*, Seung-Woo Seo and Seong-Woo Kim, "STFP: Simultaneous Traffic Scene Forecasting and Planning for Autonomous Driving", IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS), 2021

  • [C2] Hyung-Suk Yoon, Seung-Woo Seo, "Automated Driving Data Classification with Unsupervised Clustering", The 36th International Technical Conference on Circuits/Systems, Computers and Communications(ITC-CSCC), 2021

  • [C1] Hyung-Suk Yoon*, Sang-Hyun Lee* and Seung-Woo Seo, "Exploration Strategy Based on Validity of Actions in Deep Reinforcement Learning", IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS), 2020

* indicates equal contribution
Education
  • (2019.03 ~ present) Ph.D. Candidate in Electrical and Computer Engineering, Seoul National University, Seoul, Korea
  • (2014.03 ~ 2019.02) B.S. in Electrical Engineering, Pohang University of Science and Technology(POSTECH), Pohang, Korea
Project
  • (2022'-2023') Off-road robot navigation project 
  • (2020'-2021') SNUVI (urban autonomous driving) project

---------- Patents ----------
  •  기계 학습을 위한 온라인 데이터셋의 자가 균형화 방법 및 장치 (METHOD AND APPARATUS OF SELF-BALANCING ONLINE DATASET FOR MACHINE LEARNING); No. 1025907930000 (2023.10.13)
  • 불확실성 조건부 심층 강화 학습 방법 및 그 처리 장치 (METHOD AND APPARATUS OF UNCERTAINTY-CONDITION ED DEEP REINFORCEMENT LEARNING); No. 1025907910000 (2023.10.13)