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Andrew Jeong

Ph.D. Candidate

School of Computing, KAIST


Google Scholar | GitHub


I am a 2nd-year Ph.D. candidate in the Scalable Graphics, Vision, and Robotics (SGVR) Lab at KAIST, advised by Prof. Sung-Eui Yoon. I am interested in building embodied robotic intelligence capable of reasonable decision-making through machine learning. My research focuses on bridging the gap between perception and action to enable robots to operate and adapt in unstructured, real-world environments.

Research Interests:

  • Vision Language Action (VLA) models
  • Latent space planning
  • Generative models
  • Reinforcement learning

Contact

  • andrew7447 [at] kaist.ac.kr

  • Bldg E3-1, Rm 3443, 291 Daehak-ro, Yuseong-gu, Daejeon, Korea, 34141

Education

  • Ph.D. in School of Computing, KAIST

    - Advisor: Sung-Eui Yoon

    Mar. 2025 - Current

  • M.S. in Mechanical Engineering, Sogang University

    - Advisor: Seok-hwan Jeong

    Sep. 2022 - Aug. 2024

  • B.S. in Mechanical Engineering, Sogang University

    Mar. 2016 - Aug. 2022

News

  • [Jun. 2026] One paper is accepted in IROS 2026.
  • [Mar. 2026] One paper is accepted in CVPR 2026 as a Highlight paper.

Publications

  • Distilling Collaborative Dynamics into Latent Space for Implicit Coordination in Decentralized Multi-Agent Manipulation

    Chanyoung Park, Minsung Yoon, Andrew Jeong, Sung-Eui Yoon

    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2026

    [Project] [Paper]

  • CLaD: Planning with Grounded Foresight via Cross-Modal Latent Dynamics

    Andrew Jeong, Jaemin Kim, Sebin Lee, Sung-Eui Yoon

    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
    Highlight

    [Project] [Paper]