I’m an incoming M.S. student at KAIST's AMI (Advanced Machine Intelligence) Lab advised by Prof. Tae-Hyun Oh, and a recent KAIST graduate with a B.S. in Electrical Engineering and Computer Science (double major).
My current focus is grounding multimodal perception (vision/3D) and natural-language instructions into reliable long-horizon behavior for embodied agents. My research interests include, but are not limited to:
Most recent publications on Google Scholar.
‡ indicates equal contribution.
DarkEQA: Benchmarking Vision-Language Models for Embodied Question Answering in Low-Light Indoor Environments
Yohan Park, Hyunwoo Ha, Wonjun Jo, Tae-Hyun Oh
Arxiv'25: arXiv preprint. 2025. (Under review at IEEE RA-L)
Reactive Constraint Relaxation for Urban Environment Navigation
Jinwoo Kim, Keonyoung Koh, Samuel Seungsup Lee, Yohan Park, Daehyung Park
RiTA'24: International Conference on Robot Intelligence Technology and Applications. 2024.
Best Student Paper Award
DarkEQA: Benchmarking Vision-Language Models for Embodied Question Answering in Low-Light Indoor Environments
Yohan Park, Hyunwoo Ha, Wonjun Jo, Tae-Hyun Oh
Arxiv'25: arXiv preprint. 2025. (Under review at IEEE RA-L)
Reactive Constraint Relaxation for Urban Environment Navigation
Jinwoo Kim, Keonyoung Koh, Samuel Seungsup Lee, Yohan Park, Daehyung Park
RiTA'24: International Conference on Robot Intelligence Technology and Applications. 2024.
Best Student Paper Award
Full Resume in PDF.