PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection. - Shivin Dass; Karl Pertsch; Hejia Zhang; Youngwoon Lee; Joseph J. Lim; Stefanos Nikolaidis (Robotics: Science and Systems, 2023)

Learning to Look: Seeking Information for Decision Making via Policy Factorization. - Shivin Dass; Jiaheng Hu; Ben Abbatematteo; Peter Stone 001; Roberto Martín-Martín (CoRL, 2024)

Model-Based Runtime Monitoring with Interactive Imitation Learning. - Huihan Liu; Shivin Dass; Roberto Martín-Martín; Yuke Zhu (ICRA, 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)

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. - Alexander Khazatsky; Karl Pertsch; Suraj Nair 003; Ashwin Balakrishna; Sudeep Dasari; Siddharth Karamcheti; Soroush Nasiriany; Mohan Kumar Srirama; Lawrence Yunliang Chen; Kirsty Ellis; Peter David Fagan; Joey Hejna; et al. (Robotics: Science and Systems, 2024)

TeleMoMa: A Modular and Versatile Teleoperation System for Mobile Manipulation. - Shivin Dass; Wensi Ai; Yuqian Jiang; Samik Singh; Jiaheng Hu; Ruohan Zhang; Peter Stone 001; Ben Abbatematteo; Roberto Martín-Martín (CoRR, 2024)

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. - Alexander Khazatsky; Karl Pertsch; Suraj Nair 003; Ashwin Balakrishna; Sudeep Dasari; Siddharth Karamcheti; Soroush Nasiriany; Mohan Kumar Srirama; Lawrence Yunliang Chen; Kirsty Ellis; Peter David Fagan; Joey Hejna; et al. (CoRR, 2024)

DataMIL: Selecting Data for Robot Imitation Learning with Datamodels. - Shivin Dass; Alaa Khaddaj; Logan Engstrom; Aleksander Madry; Andrew Ilyas; Roberto Martín-Martín (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)

COLLAGE: Adaptive Fusion-based Retrieval for Augmented Policy Learning. - Sateesh Kumar; Shivin Dass; Georgios Pavlakos; Roberto Martín-Martín (CoRR, 2025)