Sunghwan Kim
김성환

Hi! My name is Sunghwan Kimpronounced "Sung-Hwahn" (su as in "sun"). I also go by Shawn. I am a PhD student at UC San Diego, working at Existential Robotics Laboratory, advised by Prof. Nikolay Atanasov. I'm also closely working with Prof. Yulun Tian at University of Michigan. Previously, I was a research officer at the Agency for Defense Development (ADD), the South Korean counterpart to the U.S. DARPA. I received my B.S. in Electrical Engineering and Mathematics (double major) at KAIST.

My research goal is to enable mobile robots to perform long-horizon tasks in large-scale environments autonomously. I'm interested in the intersection of robot mapping and policy learning (e.g., RL, VLA). My current focus includes neural scene representations, neural SLAM, and reinforcement learning (e.g., world models).

Email  /  Linkedin  /  Google Scholar  /  Github

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News
  • [2026.01] Our paper SBP has been accepted to ICRA 2026!
  • [2025.10] Attending CoRL 2025. See you in Seoul!
  • [2025.06] Attending RSS 2025. See you in LA!
  • [2025.06] Our paper SBP has been nominated for Best Paper at the RSS RoboReps Workshop!
  • [2025.06] Our paper MISO has been accepted to RSS 2025!
  • [2024.08] Started my PhD at UC San Diego!
Publication

Papers sorted by recency. Representative papers are highlighted. * indicates equal contribution.

Seeing the Bigger Picture: 3D Latent Mapping for Mobile Manipulation Policy Learning
Sunghwan Kim, Woojeh Chung, Zhirui Dai, Dwait Bhatt, Arth Shukla, Hao Su, Yulun Tian, Nikolay Atanasov
ICRA, 2026
RSS 2025 Workshop on Mobile Manipulation (Oral)
RSS 2025 Workshop on Learned Robot Representations (Best paper nomination)

paper / project page
MISO: Multiresolution Submap Optimization for Efficient Globally Consistent Neural Implicit Reconstruction
Yulun Tian, Hanwen Cao, Sunghwan Kim, Nikolay Atanasov
RSS, 2025
code / paper / project page
Textual Query-Driven Mask Transformer for Domain Generalized Segmentation
Byeonghyun Pak*, Byeongju Woo*, Sunghwan Kim*, Dae-hwan Kim, Hoseong Kim
ECCV, 2024
code / paper / project page
safs_small Texture Learning Domain Randomization for Domain Generalized Segmentation
Sunghwan Kim, Dae-hwan Kim, Hoseong Kim
ICCV, 2023
code / paper
safs_small Data Gathering Trials for the Development of Military Imaging Systems
Maria Niebla, Duncan L. Hickman, Eunjin Koh, Chanyong Lee, Hoseong Kim, Chaehyeon Lim, Sunghwan Kim
Proc. SPIE, Electro-Optical and Infrared Systems, 2023
paper

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