Hello, I'm Juhan Park

I am a Ph.D student at Korea Unversity, where I work with Sungjoon Choi on artificial inteligence and robotics. Previously, I received my M.S. from the Department of Artificial Intelligence at Chung-Ang University, advised by Kyungjae Lee.

My focus is on robot learning for autonomous systems, with a recent emphasis on dexterous hand manipulation. I aspire to integrate this robotic intelligence into the agricultural sector to enable sophisticated automation.

Scholar Github Linkedin

News

  • [October 2025]: Our lab is conducting a joint demonstration with RLWRLD. (video link)
  • [March 2025]: Started my Ph.D. at Korea University, advised by Sungjoon Choi.
  • [February 2025]: Graduated from the Department of Artificial Intelligence at Chung-Ang University with a M.S. degree..
  • [Feburary 2025]: I am presenting our work about placement aware grasp planning in Korea Robotics Society Annual Conference (KRoC) as invited speaker in flagship conference session.
  • [October 2024]: Our paper about Placement Aware Grasp Planning for Efficient Sequential Manipulation got published to ECAI 2024.
  • [May 2023]: Our paper about Efficient Task Planning with MCTS got published to ICRA 2023.
  • [March 2023]: I have started my M.S. at the Department of Artificial Intelligence at Chung-Ang University, advised by Kyungjae Lee.

Publications

Learning Feasibility from Failure Data in Vision–Language–Action Models

Learning Feasibility from Failure Data in Vision–Language–Action Models

Jeongeun Park, Jihwan Yoon, Byeongwoo Jeon, Juhan Park, Namhoon Cho, Kyungjae Lee, Sangdoo Yun, Sungjoon Choi
CoRL 2025 2nd Workshop on Safe and Robust Robot Learning for Operation in the Real World

We propose VINE, a dual-system framework that injects failure-aware reasoning into VLAs. System 1 executes grounded action chunks, while System 2 builds a tree of thought states and scores candidate subgoals using both success and failure data.

Project Page arXiv
Foundation Model-Driven Framework for Human-Object Interaction Prediction with Segmentation Mask Integration

Foundation Model-Driven Framework for Human-Object Interaction Prediction with Segmentation Mask Integration

Juhan Park, Kyungjae Lee, Hyung Jin Chang, Jungchan Cho,

This work utilizes a segmentation foundation model to perform the Human-Object Interaction (HOI) detection task.

PDF
Placement Aware Grasp Planning for Efficient Sequential Manipulation

Placement Aware Grasp Planning for Efficient Sequential Manipulation

Juhan Park , Daejong Jin, Kyungjae Lee,
27TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE (ECAI), 2024

Efficient task planning with MCTS considering placement constraints.

PDF Video
Perturbation-Based Best Arm Identification for Efficient Task Planning with Monte-Carlo Tree Search

Perturbation-Based Best Arm Identification for Efficient Task Planning with Monte-Carlo Tree Search

Daejong Jin, Juhan Park , Kyungjae Lee,
The 2023 IEEE Conference of Robotics and Automation (ICRA), 2023

Perturbation-based best arm identification for efficient task planning with Monte-Carlo Tree Search.

PDF Video