Taegeun Yang

Ph.D. Candidate

School of Computing, KAIST


CV | Google Scholar | GitHub


I am a Ph.D. candidate in the School of Computing at KAIST, where I am a member of the Scalable Graphics, Vision, and Robotics (SGVR) Lab under the supervision of Professor Sung-Eui Yoon. My research is centered at the intersection of robotics and artificial intelligence, with a primary focus on developing robust control systems for robots using reinforcement learning. I am also interested in building embodied agents that can perceive, understand, and act upon complex instructions through Vision-Language-Action (VLA) models.

Contact

  • xorms2001 [at] kaist.ac.kr

  • Bldg E3-1, Rm 3448, 291 Daehak-ro, Yuseong-gu, Daejeon, Korea, 34141

Education

  • Ph.D. in Computer Science, KAIST

    - Advisor: Sung-Eui Yoon

    Mar. 2025 -

  • M.S. in Computer Science, KAIST

    - Advisor: Sung-Eui Yoon

    Mar. 2023 - Feb. 2025

  • B.S. in Electrical Engineering, KAIST

    Mar. 2019- Feb. 2023

  • Gyeonggibuk Science High School

    Mar. 2017- Feb. 2019

News

  • Jun. 2025 A paper was accepted to IROS 2025.
  • Feb. 2025 We presented tutorial talks at Korea Robotics Society Annual Conference (KRoC) 2025.
  • Apr. 2024 A paper was accepted to ICRA 2024 MoMa Workshop.
  • Mar. 2024 A paper was accepted to IV 2024 Off-Road Autonomy Workshop.

Publications

    International Papers

  • Efficient Navigation Among Movable Obstacles using a Mobile Manipulator via Hierarchical Policy Learning

    Taegeun Yang, Jiwoo Hwang, Jeil Jeong, Minsung Yoon, and Sung-Eui Yoon

    - IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2025

    Paper Supplementary

  • Analysis of Terrain-Aware Optimal Path Planning Methods for Stable Off-Road Navigation

    Minsung Yoon, Taegeun Yang, Chanmi Lee, Hyunsik Son, and Sung-Eui Yoon

    - Off-Road Autonomy Workshop at IEEE Intelligent Vehicles Symposium (IV) 2024

    Paper

    • Domestic (Korean) Papers

  • Manipulator-Assisted Navigation Among Movable Obstacles using Learned Robot-Obstacle Kinodynamics Model

    Taegeun Yang, Minsung Yoon, and Sung-Eui Yoon

    - Korea Robotics Society Annual Conference (KRoC), 2024

    Paper

Awards

  • Awarded Dean's List for academic excellence in Fall 2021 (KAIST, Electrical Engineering).
  • Awarded Departmental Honors Scholarship (2nd place) in Fall 2021 (KAIST, Electrical Engineering).

Pictures

IROS25 Oral Presentation
ICLR25 Attentance
Graduate
KRoC25 Tutorial Talks
KRoC25 Attendance
Master's Thesis Defense
Outdoor Autonomous Navigation Demonstration
KCC24 Attendance
IV24 Workshop Oral Presentation
IV24 Attendance
ICRA24 Workshop Poster Presentation
ICRA24 Attendance
KRoC24 Poster Presentation
KCCV23 Attendance
RSS23 Attendance