Vision-Based Manipulators Need to Also See from Their Hands. - Kyle Hsu; Moo Jin Kim; Rafael Rafailov; Jiajun Wu 001; Chelsea Finn (ICLR, 2022)

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; et al. (CoRL, 2023)

NeRF in the Palm of Your Hand: Corrective Augmentation for Robotics via Novel-View Synthesis. - Allan Zhou; Moo Jin Kim; Lirui Wang; Pete Florence; Chelsea Finn (CVPR, 2023)

Giving Robots a Hand: Learning Generalizable Manipulation with Eye-in-Hand Human Video Demonstrations. - Moo Jin Kim; Jiajun Wu 001; Chelsea Finn (CoRR, 2023)

OpenVLA: An Open-Source Vision-Language-Action Model. - Moo Jin Kim; Karl Pertsch; Siddharth Karamcheti; Ted Xiao; Ashwin Balakrishna; Suraj Nair 003; Rafael Rafailov; Ethan Paul Foster; Pannag R. Sanketi; Quan Vuong; Thomas Kollar; Benjamin Burchfiel; et al. (CoRL, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

OpenVLA: An Open-Source Vision-Language-Action Model. - Moo Jin Kim; Karl Pertsch; Siddharth Karamcheti; Ted Xiao; Ashwin Balakrishna; Suraj Nair 003; Rafael Rafailov; Ethan Paul Foster; Grace Lam; Pannag Sanketi; Quan Vuong; Thomas Kollar; et al. (CoRR, 2024)

CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models. - Qingqing Zhao; Yao Lu 006; Moo Jin Kim; Zipeng Fu; Zhuoyang Zhang; Yecheng Wu; Zhaoshuo Li; Qianli Ma; Song Han 003; Chelsea Finn; Ankur Handa; Tsung-Yi Lin; et al. (CVPR, 2025)

Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success. - Moo Jin Kim; Chelsea Finn; Percy Liang (CoRR, 2025)

RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies. - Pranav Atreya; Karl Pertsch; Tony Lee; Moo Jin Kim; Arhan Jain; Artur Kuramshin; Clemens Eppner; Cyrus Neary; Edward S. Hu; Fabio Ramos 001; Jonathan Tremblay; Kanav Arora; et al. (CoRR, 2025)