RoboNet: Large-Scale Multi-Robot Learning. - Sudeep Dasari; Frederik Ebert; Stephen Tian; Suraj Nair 003; Bernadette Bucher; Karl Schmeckpeper; Siddharth Singh; Sergey Levine; Chelsea Finn (CoRL, 2019)

Manipulation by Feel: Touch-Based Control with Deep Predictive Models. - Stephen Tian; Frederik Ebert; Dinesh Jayaraman; Mayur Mudigonda; Chelsea Finn; Roberto Calandra; Sergey Levine (ICRA, 2019)

Learning Predictive Models from Observation and Interaction. - Karl Schmeckpeper; Annie Xie; Oleh Rybkin; Stephen Tian; Kostas Daniilidis; Sergey Levine; Chelsea Finn (ECCV (20), 2020)

OmniTact: A Multi-Directional High-Resolution Touch Sensor. - Akhil Padmanabha; Frederik Ebert; Stephen Tian; Roberto Calandra; Chelsea Finn; Sergey Levine (ICRA, 2020)

DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor With Application to In-Hand Manipulation. - Mike Lambeta; Po-Wei Chou; Stephen Tian; Brian H. Yang; Benjamin Maloon; Victoria Rose Most; Dave Stroud; Raymond Santos; Ahmad Byagowi; Gregg Kammerer; Dinesh Jayaraman; Roberto Calandra (IEEE Robotics Autom. Lett., 2020)

A Workflow for Offline Model-Free Robotic Reinforcement Learning. - Aviral Kumar; Anikait Singh; Stephen Tian; Chelsea Finn; Sergey Levine (CoRL, 2021)

Model-Based Visual Planning with Self-Supervised Functional Distances. - Stephen Tian; Suraj Nair 003; Frederik Ebert; Sudeep Dasari; Benjamin Eysenbach; Chelsea Finn; Sergey Levine (ICLR, 2021)

Learning to Design and Use Tools for Robotic Manipulation. - Ziang Liu 008; Stephen Tian; Michelle Guo; C. Karen Liu; Jiajun Wu 001 (CoRL, 2023)

Multi-Object Manipulation via Object-Centric Neural Scattering Functions. - Stephen Tian; Yancheng Cai; Hong-Xing Yu; Sergey Zakharov; Katherine Liu; Adrien Gaidon; Yunzhu Li; Jiajun Wu 001 (CVPR, 2023)

MaskViT: Masked Visual Pre-Training for Video Prediction. - Agrim Gupta; Stephen Tian; Yunzhi Zhang; Jiajun Wu 001; Roberto Martín-Martín; Li Fei-Fei 001 (ICLR, 2023)

A Control-Centric Benchmark for Video Prediction. - Stephen Tian; Chelsea Finn; Jiajun Wu 001 (ICLR, 2023)

Are These the Same Apple? Comparing Images Based on Object Intrinsics. - Klemen Kotar; Stephen Tian; Hong-Xing Yu; Dan Yamins; Jiajun Wu 001 (NeurIPS, 2023)

View-Invariant Policy Learning via Zero-Shot Novel View Synthesis. - Stephen Tian; Blake Wulfe; Kyle Sargent; Katherine Liu; Sergey Zakharov; Vitor Campagnolo Guizilini; Jiajun Wu 001 (CoRL, 2024)

Learning to Design 3D Printable Adaptations on Everyday Objects for Robot Manipulation. - Michelle Guo; Ziang Liu 008; Stephen Tian; Zhaoming Xie; Jiajun Wu 001; C. Karen Liu (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)

RoboPack: Learning Tactile-Informed Dynamics Models for Dense Packing. - Bo Ai 008; Stephen Tian; Haochen Shi; Yixuan Wang 003; Cheston Tan; Yunzhu Li; Jiajun Wu 001 (Robotics: Science and Systems, 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)

Digital Twin Catalog: A Large-Scale Photorealistic 3D Object Digital Twin Dataset. - Zhao Dong; Ka Chen; Zhaoyang Lv; Hong-Xing Yu; Yunzhi Zhang; Cheng Zhang; Yufeng Zhu; Stephen Tian; Zhengqin Li; Geordie Moffatt; Sean Christofferson; James Fort; et al. (CVPR, 2025)

Foundation models in robotics: Applications, challenges, and the future. - Roya Firoozi; John Tucker 001; Stephen Tian; Anirudha Majumdar; Jiankai Sun; Weiyu Liu; Yuke Zhu; Shuran Song; Ashish Kapoor; Karol Hausman; Brian Ichter; Danny Driess; et al. (Int. J. Robotics Res., 2025)