Yunho Choi

I am an AI/Robotics Researcher at Sequor Robotics, Inc, where I work on visual localization of mobile robots. My research interest lies in vision-based robot learning, especially in the decision-making of embodied agents and reinforcement learning.

Previously, I obtained my Ph.D. degree in Electrical and Computer Engineering from Seoul National University (SNU) in 2024, advised by Songhwai Oh at Robot Learning Laboratory. I got my bachelor's degree in Electrical and Computer Engineering with highest honors from SNU as well in 2017.

Email / CV / Google Scholar / Github / Linkedin

Selected Publications

Representative papers are highlighted. Please check my Google Scholar profile for a full paper list.

	KG-Nav: Bridging the Gap between Visual Servoing and Image-Goal Navigation via Keypoint Graph-Based Reinforcement Learning Yunho Choi, Jaeseok Heo, Nuri Kim, and Songhwai Oh. Under Review
	Commonsense-Aware Object Value Graph for Object Goal Navigation Hwiyeon Yoo, Yunho Choi, Jeongho Park, and Songhwai Oh. IEEE Robotics and Automation Letters (RA-L), 2024. 40th Anniversary of the IEEE Conference on Robotics and Automation, Sep. 2024 paper
	Topological Semantic Graph Memory for Image-Goal Navigation Nuri Kim, Obin Kwon, Hwiyeon Yoo, Yunho Choi, Jeongho Park, and Songhwai Oh. Conference on Robot Learning (CoRL), 2022. Oral presentation project page / arXiv / code / video
	Visual Graph Memory with Unsupervised Representation for Visual Navigation Obin Kwon, Nuri Kim, Yunho Choi, Hwiyeon Yoo, Jeongho Park, Songhwai Oh. (* equal contribution) International Conference on Computer Vision (ICCV), 2021. project page / paper / code / video
	Hierarchical 6-DoF Grasping with Approaching Direction Selection Yunho Choi, Hogun Kee, Kyungjae Lee, Jaegoo Choy, Junhong Min, Sohee Lee, and Songhwai Oh. IEEE International Conference on Robotics and Automation (ICRA), 2020. paper / video
	Distributional Deep Reinforcement Learning with a Mixture of Gaussians Yunho Choi, Kyungjae Lee, and Songhwai Oh. IEEE International Conference on Robotics and Automation (ICRA), 2019. paper / code
	Text2Action: Generative Adversarial Synthesis from Language to Action Hyemin Ahn, Timothy Ha, Yunho Choi, Hwiyeon Yoo, and Songhwai Oh. IEEE International Conference on Robotics and Automation (ICRA)*, 2018. paper / code / video

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