Research output per year
Research output per year
Personal profile
Education
Ph.D, Electrical and Computer Engineering, Seoul National University, South Korea
B.S, Electrical and Computer Engineering, Seoul National University, South Korea
박사, 서울대학교 전기정보공학부 (2020) (Thesis: A Variational Observation Model of 3D Multi-Object in 2D Single Scene for Semantic SLAM)
학사, 서울대학교 전기정보공학부 (2014)
Professional Experience
Assistant Professor, Dept. of Intelligent Robotics & Mechanical Eng., SKKU, South Korea (Mar `24 ~ Current)
Assistant Professor, Electrical Eng. & Grad. School of AI (affiliated), UNIST, South Korea (Feb `22 ~ Feb `24)
Postdoc, Robotics Institute, Carnegie Mellon University, US (Mar `20 ~ Dec `21)
조교수, 지능형로봇학과, 성균관대학교 (`24년 3월 ~ 현재)
조교수, 전기전자공학과 및 인공지능대학원, UNIST (`22년 2월 ~ `24년 2월)
Postdoc, Robotics Institute, Carnegie Mellon University (`20년 3월 ~ `21년 12월)
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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3D RoA-Planner: Path Planner for Quadruped Robots in Confined Spaces Using 3D Rotatable Areas
Son, Y., Lee, H., Kang, H., Park, J., Nam, S. W., Oh, J., Yi, B., Yu, H. & Choi, H. R., 1 Jun 2026, In: IEEE Robotics and Automation Letters. 11, 6, p. 7436-7443 8 p.Research output: Contribution to journal › Article › peer-review
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GSO-SLAM: Bidirectionally Coupled Gaussian Splatting and Direct Visual Odometry
Yeon, J., Ha, S. & Yu, H., 2026, In: IEEE Robotics and Automation Letters. 11, 4, p. 5033-5040 8 p.Research output: Contribution to journal › Article › peer-review
1 Link opens in a new tab Scopus citations -
Memory-Efficient Voxelized Renderable Neural 3D Spatial Representation for Vision-Based Robotics
Jun, H., Ha, S., Lee, J., Yu, H. & Oh, S., 2026, In: IEEE Robotics and Automation Letters. 11, 1, p. 113-120 8 p.Research output: Contribution to journal › Article › peer-review
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RUSH: Recursive and Scalable 3D Coarse to Fine Path Planning
Lee, H., Ko, D., Hur, J., Lee, J., Ha, S., Ko, J. H. & Yu, H., 2026, In: IEEE Robotics and Automation Letters. 11, 2, p. 2346-2353 8 p.Research output: Contribution to journal › Article › peer-review
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Bayesian NeRF: Quantifying Uncertainty With Volume Density for Neural Implicit Fields
Lee, S., Kang, K., Ha, S. & Yu, H., 2025, In: IEEE Robotics and Automation Letters. 10, 3, p. 2144-2151 8 p.Research output: Contribution to journal › Article › peer-review
6 Link opens in a new tab Scopus citations