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.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Electrical and Electronics Engineering, Doctor of Philosophy - PhD Electrical and Electronics Engineering at Korea Advanced Institute of Science and Technology
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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