Moo Jin Kim

PhD student, Stanford University

Joined

September 2021

Names

Moo Jin Kim (Preferred)

Emails

****@stanford.edu (Confirmed)

****@cs.stanford.edu

Personal Links

Homepage

Google Scholar

Career & Education History

PhD student

Stanford University (stanford.edu)

2023 – Present

MS student

Stanford University (stanford.edu)

2020 – 2022

Undergrad student

University of California, Los Angeles (ucla.edu)

2016 – 2020

Advisors, Relations & Conflicts

PhD Advisor

Chelsea Finn

Present

PhD Advisor

Percy Liang

Present

Coauthor

Sergey Levine

Present

Coauthor

Dorsa Sadigh

Present

Coauthor

Russ Tedrake

Present

Expertise

foundation models

2023 – Present

deep reinforcement learning

robotics

deep learning

2021 – Present

computer vision

2021 – Present

imitation learning

2021 – Present

Publications

Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning
Moo Jin Kim, Yihuai Gao, Tsung-Yi Lin, Yen-Chen Lin, Yunhao Ge, Grace Lam, Percy Liang, Shuran Song, Ming-Yu Liu, Chelsea Finn, Jinwei Gu
- ICLR 2026 Poster
- Readers: Everyone
RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies
Pranav Atreya, Karl Pertsch, Tony Lee, Moo Jin Kim, Arhan Jain, Artur Kuramshin, Cyrus Neary, Edward S. Hu, Kanav Arora, Kirsty Ellis, Luca Macesanu, Matthew Leonard, Meedeum Cho, Ozgur Aslan, Shivin Dass, Tony Wang, Xingfang Yuan, Abhishek Gupta, Dinesh Jayaraman, Glen Berseth et al. (6 additional authors not shown)
- CoRL 2025 Oral
- Readers: Everyone
OpenVLA: An Open-Source Vision-Language-Action Model
Moo Jin Kim, Karl Pertsch, Siddharth Karamcheti, Ted Xiao, Ashwin Balakrishna, Suraj Nair, Rafael Rafailov, Ethan P Foster, Pannag R Sanketi, Quan Vuong, Thomas Kollar, Benjamin Burchfiel, Russ Tedrake, Dorsa Sadigh, Sergey Levine, Percy Liang, Chelsea Finn
- CoRL 2024
- Readers: Everyone
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Quan Vuong, Sergey Levine, Homer Rich Walke, Karl Pertsch, Anikait Singh, Ria Doshi, Charles Xu, Jianlan Luo, Liam Tan, Dhruv Shah, Chelsea Finn, Max Du, Moo Jin Kim, Alexander Khazatsky, Jonathan Heewon Yang, Tony Z. Zhao, Ken Goldberg, Ryan Hoque, Lawrence Yunliang Chen, Simeon Adebola et al. (154 additional authors not shown)
- LangRob @ CoRL 2023 Poster
- Readers: Everyone
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Quan Vuong, Sergey Levine, Homer Rich Walke, Karl Pertsch, Anikait Singh, Ria Doshi, Charles Xu, Jianlan Luo, Liam Tan, Dhruv Shah, Chelsea Finn, Max Du, Moo Jin Kim, Alexander Khazatsky, Jonathan Heewon Yang, Tony Z. Zhao, Ken Goldberg, Ryan Hoque, Lawrence Yunliang Chen, Simeon Adebola et al. (154 additional authors not shown)
- CoRL 2023 Workshop TGR Oral
- Readers: Everyone
BridgeData V2: A Dataset for Robot Learning at Scale
Homer Rich Walke, Kevin Black, Tony Z. Zhao, Quan Vuong, Chongyi Zheng, Philippe Hansen-Estruch, Andre Wang He, Vivek Myers, Moo Jin Kim, Max Du, Abraham Lee, Kuan Fang, Chelsea Finn, Sergey Levine
- Published: 30 Aug 2023, Last Modified: 15 Jan 2026
- CoRL 2023 Poster
- Readers: Everyone
Giving Robots a Hand: Broadening Generalization via Hand-Centric Human Video Demonstrations
Moo Jin Kim, Jiajun Wu, Chelsea Finn
- 08 Oct 2022 (modified: 05 May 2023)
- Deep RL Workshop 2022
- Readers: Everyone
Giving Robots a Hand: Broadening Generalization via Hand-Centric Human Video Demonstrations
Moo Jin Kim, Jiajun Wu, Chelsea Finn
- 22 Sept 2022 (modified: 13 Feb 2023)
- ICLR 2023 Conference Withdrawn Submission
- Readers: Everyone
Vision-Based Manipulators Need to Also See from Their Hands
Kyle Hsu, Moo Jin Kim, Rafael Rafailov, Jiajun Wu, Chelsea Finn
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Oral
- Readers: Everyone

Co-Authors

View all 214 co-authors