Sungjae Park
Hi, I am a M.S. in Robotics student at Carnegie Mellon University, advised by Prof. Shubham Tulsiani.
Previously, I was a research intern in the Visual Computing lab at Seoul National University, advised by
Prof. Hanbyul Joo. I completed B.S. (Summa Cum Laude) in Mechanical Engineering and Mathematics at Seoul National
University.
Email  / 
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Github
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Research
My research goal is to develop a robot with human-like abilities, including
physical capabilities for manipulation tasks, and cognitive
capabilities for intuitive understanding of the real world.
Specifically, I am interested in solving complex manipulation tasks (e.g.
dexterous, contact-rich, long-horizon tasks),
physical reasoning WITH interaction (e.g. experimenting with objects and inferring
properties with physical interaction), and
physical reasoning FOR interaction(e.g. intuitive physics, leveraging object permanence
for efficient object retrieval).
* denotes equal contribution.
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DemoDiffusion: One-Shot Human Imitation using pre-trained Diffusion Policy
Sungjae Park, Homanga Bharadhwaj, Shubham Tulsiani.
Preprint 2025
Paper / Website /
Code
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Learning to Transfer Human Hand Skills for Robot Manipulations
Sungjae Park*, Seungho Lee*, Mingi Choi*, Jiye Lee, Jeonghwan Kim, Jisoo Kim, Hanbyul Joo.
CoRL X-Embodiment Workshop 2024
Paper / Website
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DROID: A Large-Scale In-the-Wild
Robot Manipulation Dataset
DROID Dataset Team
RSS 2024
Paper / Website / Code
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Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Open X-Embodiment Collaboration
ICRA 2024 / Best Conference Paper Award
Paper / Website
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Introduction to Robotics
Student Instructor, Spring
2022
College Physics 1, 2
Undergraduate Tutoring, Spring 2018, Fall 2018, Spring 2021, Fall 2021
Linear Algebra
Undergraduate Tutoring, Spring 2021
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Service
Reviewer for NeurIPS, ICLR, ICRA.
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