Sunghwan Kim (김성환)

I am a PhD student at UC San Diego, working at Existential Robotics Laboratory under the guidance of Prof. Nikolay Atanasov.

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.

Email  /  CV  /  Linkedin  /  Google Scholar  /  Github

profile photo
Research

I am focusing on building neural representations for robot policy learning. I am interested in the following topics:

  • Implicit neural representations
  • Latent feature mapping
  • Neural SLAM
  • Mobile manipulation
Seeing the Bigger Picture: 3D Latent Mapping for Mobile Manipulation Policy Learning
Sunghwan Kim, Woojeh Chung, Yulun Tian, Zhirui Dai, Arth Shukla, Hao Su, Nikolay Atanasov
RSS 2025 MOMA Workshop (Oral), RSS 2025 RoboReps Workshop (Best paper nominee)
paper
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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