Dong Kyu Shin
Undergraduate Researcher
Seoul National University
B.S. in Mechanical Engineering
B.S. in Artificial Intelligence
Contact Info
- Email: dkshin99@gmail.com
- LinkedIn: Click
- GitHub: Click
- Google Scholar: Click
- CV: Click
About Me
I am an undergraduate researcher at Seoul National University, majoring in Mechanical Engineering with an Interdisciplinary Major in Artificial Intelligence. My research focuses on sequential decision-making, reinforcement learning, and robot manipulation. Currently, I work as a Research Intern at the KAIST RISE Lab, advised by Prof. Kimin Lee. Recently, I am working on human–robot interaction and robot learning from human data.
Research Interests
- Reinforcement Learning & Sequential Decision Making
- Robotics & Robot Manipulation
- Human–Robot Interaction and Human-to-Robot Transfer
Education
B.S. in Mechanical Engineering
B.S. in Interdisciplinary Major in Artificial Intelligence
GPA: 3.96 / 4.3
Research & Professional Experience
Research Intern
Advisor: Kimin Lee
- Conducting research on Human-to-Robot Transfer and Human–Robot Interaction
- Investigating how human observations can enhance robot learning capabilities
Undergraduate Thesis
Advisor: Frank Chongwoo Park
- Developed SE(3)-equivariant grasp pose generation methods
- Applied rectified flow models to 6-DoF grasp sampling
Undergraduate Research Program
Advisor: Frank Chongwoo Park
- Studied anomaly detection algorithms
- Implemented hyperspherical embedding with ViT backbone, achieving SOTA-comparable performance
Mandatory Military Service
- Discharged as Army Sergeant (Ammunition Management)
Publications
Publication Type — C: Conference | J: Journal | P: Preprint
(* equal contribution, † co-corresponding authors)
2026
[C2] Learning Multi-View Spatial Reasoning from Cross-View Relations
Suchae Jeong*, Jaehwi Song*, Haeone Lee, Hanna Kim, Jian Kim, Dongjun Lee, Dong Kyu Shin, Changyeon Kim, Dongyoon Hahm, Woogyeol Jin, Juheon Choi, Kimin Lee†
Computer Vision and Pattern Recognition (CVPR) 2026
[C1] Value Gradient Sampler: Learning Invariant Value Functions for Equivariant Diffusion Sampling
Himchan Hwang*, Hyeokju Jeong*, Dong Kyu Shin*, Che-Sang Park, Sehee Kweon, Sangwoong Yoon†, Frank Chongwoo Park†
AISTATS 2026
[Arxiv]
Selected Projects
2024
RC-Car Autonomous Racing Challenge [LINK]
- Developed modified PPO-based reinforcement learning for autonomous racing on unknown tracks
- Technologies: Python, ROS2, MuJoCo
Technical Skills
Programming Languages: Python (PyTorch, OpenGL), MATLAB, C++, ROS2
Languages: Korean (Native), English (Intermediate), Mandarin Chinese (Conversational), French (Beginner)
Awards and Honors
- Science and Engineering Scholarship
Ministry of Science and ICT (Sept 2023 – Feb 2025) - 2nd Place, RC-Car Autonomous Racing Challenge
(Dec 2024) - Bronze Medal, Mechatronics Project Contest
Hyundai Infracore (Jun 2023) - Academic Excellence Scholarship
(Mar 2023 – Aug 2023) - Academic Excellence Scholarship
(Mar 2019 – Feb 2021)
Hobbies
Saxophone
I enjoy playing the saxophone in my free time. Learning and performing improvisation is one of the most creatively fulfilling parts of my life.
