Hyungtae Lim

Software Engineer at Zoox

Daejeon, South Korea
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Summary

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Rockstar
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Top School
Hyungtae Lim is a postdoctoral researcher at MIT's SPARK Lab with eight years of experience in robotics and perception, focusing on SLAM, 3D registration, robust deep-learning perception, and long-term map management. He holds a Ph.D. and M.S. in Electrical Engineering from KAIST and has published 30+ papers in top venues like IJRR, RA-L, ICRA, RSS, and CVPR. Prior roles include a postdoc at KAIST, visiting researcher at the University of Bonn, and industry collaborations with LG Electronics and NAVER LABS, bridging academic research and applied development. His work combines theoretical rigor with practical system-building—evident from cross-institutional projects that tackle long-term robustness in real-world mapping. Based in Daejeon, South Korea, he brings deep expertise in combining geometric methods and learning-based approaches to advance resilient robotic perception.
code8 years of coding experience
job4 years of employment as a software developer
bookDoctor of Philosophy - PhD Electrical and Electronics Engineering, Doctor of Philosophy - PhD Electrical and Electronics Engineering at Korea Advanced Institute of Science and Technology
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Github Skills (92)

feature-extraction10
kd-tree10
3d10
elevation10
ros10
autonomous-driving10
optimization10
robotics10
matlab10
dynamicobject10
image-matching10
autonomous-vehicles10
feature-matching10
3d-reconstruction10
ceres-solver10

Programming languages (8)

TypeScriptC++ShellTeXHTMLJupyter NotebookMATLABPython

Github contributions (5)

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LimHyungTae/helloceres

Nov 2019 - Nov 2021

[Easy] Ceres Solver tutorial at the easiest way
Contributions:17 commits, 2 PRs, 13 pushes in 2 years
ceres-solveroptimizer
LimHyungTae/mcl_2d_lidar_ros

Nov 2019 - Aug 2022

Monte Carlo Localization (MCL) using 2D LiDAR on Robot Operating System (ROS)
Contributions:10 commits, 9 pushes, 2 branches in 2 years 9 months
lidarlocalizationmclmonte-carlooperating-system
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