Research
My long-term research goal is to develop general-purpose robotic agents that can live and interact with humans in unstructured real-world environments. To this end, my research focuses on improving the generalizability of Vision-Language-Action (VLA) models, enabling robots to reliably execute diverse tasks under distribution shifts in objects, viewpoints, and environments.
In particular, I explore methods for improving action-space grounding and robustness under distribution shifts. Through this line of research, I aim to contribute to scalable learning frameworks for reliable human-compatible robots.
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AxisGuide: Grounding Robot Action Coordinate System in RGB Observations for Robust Visuomotor Manipulation
Jiyun Jang,
Yujin Sung, Woosung Joung, Daewon Chae, Sangwon Lee, Sohwi Kim, Jinkyu Kim, Jungbeom Lee
Preprint, 2026  
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Finetuning Pre-trained Model with Limited Data
for LiDAR-based 3D Object Detection by Bridging Domain Gaps
Jiyun Jang,
Mincheol Chang,
Jongwon Park,
Jinkyu Kim
IROS, 2024 (Accepted)  
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code
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도메인 갭 해결을 통한 라이다 객체인식
모델 백본 특성 유지
장지윤,
장민철,
김진규
IEIE(대한전자공학회), 2024 (Accepted)   (Oral Presentation)
paper
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Extra-curricular activities
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- 2024 Korea University Silicon Valley Program: June 2024- July 2024
- Korea University AI club (AIKU) member: January 2023- December 2023
- Student President of Korea University College of Informatics: November 2021- November 2022
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Website template from Jon Barron.
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