I am a Postdoctoral Associate at the Laboratory for Information and Decision Systems (LIDS) at MIT, working with Luca Carlone in the SPARK Lab. My research builds robust perception, state estimation, and lifelong mapping algorithms that let mobile robots and autonomous vehicles operate reliably over long horizons in real-world environments.

I received my Ph.D. and M.S. in Electrical Engineering from KAIST, advised by Hyun Myung in the Urban Robotics Laboratory, where I also continued as a postdoctoral fellow before joining MIT. During my doctoral studies, I was a visiting scholar at StachnissLab, University of Bonn, with Cyrill Stachniss, and a research intern at NAVER LABS. I currently serve as an Associate Editor for IEEE Robotics and Automation Letters (RA-L).

I am passionate about open-source research and contribute to the community through well-documented, reproducible code — including Patchwork++, KISS-Matcher, ERASOR, and Quatro, and as a co-maintainer of TEASER++ and Hydra. See my GitHub for more.

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Speaker introduction — for event organizers (click to expand)


Short version Bio.

Hyungtae Lim is a Postdoctoral Associate at MIT’s SPARK Lab, working with Prof. Luca Carlone. He received his Ph.D. in Electrical Engineering from KAIST in 2023, advised by Prof. Hyun Myung. His research focuses on robust perception, state estimation, and lifelong mapping for mobile robots and autonomous vehicles. He is a recipient of the RSS Pioneers 2024 award and the 2022 IEEE RA-L Best Paper Award, an Associate Editor for IEEE RA-L, and the author of widely used open-source libraries such as Patchwork++ and KISS-Matcher.

Long version Bio.

Hyungtae Lim is a Postdoctoral Associate in the Laboratory for Information and Decision Systems (LIDS) and the SPARK Lab at the Massachusetts Institute of Technology, working with Prof. Luca Carlone. Before joining MIT in 2024, he was a postdoctoral fellow at the Urban Robotics Lab at the Korea Advanced Institute of Science and Technology (KAIST), where he also obtained his Ph.D. in Electrical Engineering in 2023, advised by Prof. Hyun Myung. During his doctoral studies, he was a visiting scholar at StachnissLab at the University of Bonn, working with Prof. Cyrill Stachniss, and a research intern at NAVER LABS. His research interests include robust perception, state estimation, and lifelong mapping for mobile robots and autonomous vehicles, with an emphasis on algorithms that generalize beyond their training conditions and that the broader community can readily reproduce. He is a recipient of the RSS Pioneers 2024 award, the 2022 IEEE RA-L Best Paper Award, and the IEEE ICRA 2025 Outstanding Reviewer Award (5 selected among 7,641 reviewers), and currently serves as an Associate Editor for IEEE Robotics and Automation Letters. His team won first place at the HILTI SLAM Challenge at IEEE ICRA 2023 and 2024.

News

Jan. 26 🎤 Invited to CES 2026 in Las Vegas
Dec. 25 📝🦾 Multi-Mapcher is accepted to T-IV
Dec. 25 📝🦾 My first T-RO paper has been accepted
Aug. 25 📝🏆 VGGT-SLAM has been accepted in NeurIPS!
Aug. 25 📝🦾 LVI-Q is accepted to RA-L

Selected Honors

Contact

shapelim at mit dot edu