Neural Task Programming: Learning to Generalize Across Hierarchical Tasks. - Danfei Xu; Suraj Nair 003; Yuke Zhu; Julian Gao; Animesh Garg; Li Fei-Fei 001; Silvio Savarese (ICRA, 2018)

Time Reversal as Self-Supervision. - Suraj Nair 003; Mohammad Babaeizadeh; Chelsea Finn; Sergey Levine; Vikash Kumar (CoRR, 2018)

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)

Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration. - De-An Huang; Suraj Nair 003; Danfei Xu; Yuke Zhu; Animesh Garg; Li Fei-Fei 001; Silvio Savarese; Juan Carlos Niebles (CVPR, 2019)

Causal Induction from Visual Observations for Goal Directed Tasks. - Suraj Nair 003; Yuke Zhu; Silvio Savarese; Li Fei-Fei 001 (CoRR, 2019)

Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation. - Suraj Nair 003; Chelsea Finn (ICLR, 2020)

Goal-Aware Prediction: Learning to Model What Matters. - Suraj Nair 003; Silvio Savarese; Chelsea Finn (ICML, 2020)

TRASS: Time Reversal as Self-Supervision. - Suraj Nair 003; Mohammad Babaeizadeh; Chelsea Finn; Sergey Levine; Vikash Kumar (ICRA, 2020)

Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation. - Suraj Nair 003; Eric Mitchell; Kevin Chen 001; Brian Ichter; Silvio Savarese; Chelsea Finn (CoRL, 2021)

Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks. - Bohan Wu; Suraj Nair 003; Li Fei-Fei 001; Chelsea Finn (CoRL, 2021)

Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction. - Bohan Wu; Suraj Nair 003; Roberto Martín-Martín; Li Fei-Fei 001; Chelsea Finn (CVPR, 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 Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos. - Annie S. Chen; Suraj Nair 003; Chelsea Finn (Robotics: Science and Systems, 2021)

FitVid: Overfitting in Pixel-Level Video Prediction. - Mohammad Babaeizadeh; Mohammad Taghi Saffar; Suraj Nair 003; Sergey Levine; Chelsea Finn; Dumitru Erhan (CoRR, 2021)

MESA: Offline Meta-RL for Safe Adaptation and Fault Tolerance. - Michael Luo; Ashwin Balakrishna; Brijen Thananjeyan; Suraj Nair 003; Julian Ibarz; Jie Tan 001; Chelsea Finn; Ion Stoica; Ken Goldberg (CoRR, 2021)

Batch Exploration With Examples for Scalable Robotic Reinforcement Learning. - Annie S. Chen; HyunJi Nam; Suraj Nair 003; Chelsea Finn (IEEE Robotics Autom. Lett., 2021)

Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones. - Brijen Thananjeyan; Ashwin Balakrishna; Suraj Nair 003; Michael Luo; Krishnan Srinivasan; Minho Hwang; Joseph E. Gonzalez; Julian Ibarz; Chelsea Finn; Ken Goldberg (IEEE Robotics Autom. Lett., 2021)

R3M: A Universal Visual Representation for Robot Manipulation. - Suraj Nair 003; Aravind Rajeswaran; Vikash Kumar; Chelsea Finn; Abhinav Gupta 001 (CoRL, 2022)

Play it by Ear: Learning Skills amidst Occlusion through Audio-Visual Imitation Learning. - Maximilian Du; Olivia Y. Lee; Suraj Nair 003; Chelsea Finn (Robotics: Science and Systems, 2022)

Behavior Retrieval: Few-Shot Imitation Learning by Querying Unlabeled Datasets. - Maximilian Du; Suraj Nair 003; Dorsa Sadigh; Chelsea Finn (Robotics: Science and Systems, 2023)

Language-Driven Representation Learning for Robotics. - Siddharth Karamcheti; Suraj Nair 003; Annie S. Chen; Thomas Kollar; Chelsea Finn; Dorsa Sadigh; Percy Liang (Robotics: Science and Systems, 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)

Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models. - Siddharth Karamcheti; Suraj Nair 003; Ashwin Balakrishna; Percy Liang; Thomas Kollar; Dorsa Sadigh (ICML, 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)

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)

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)

GHIL-Glue: Hierarchical Control with Filtered Subgoal Images. - Kyle Beltran Hatch; Ashwin Balakrishna; Oier Mees; Suraj Nair 003; Seohong Park; Blake Wulfe; Masha Itkina; Benjamin Eysenbach; Sergey Levine; Thomas Kollar; Benjamin Burchfiel (CoRR, 2024)

π0: A Vision-Language-Action Flow Model for General Robot Control. - Kevin Black; Noah Brown; Danny Driess; Adnan Esmail; Michael Equi; Chelsea Finn; Niccolo Fusai; Lachy Groom; Karol Hausman; Brian Ichter; Szymon Jakubczak; Tim Jones; et al. (CoRR, 2024)

FAST: Efficient Action Tokenization for Vision-Language-Action Models. - Karl Pertsch; Kyle Stachowicz; Brian Ichter; Danny Driess; Suraj Nair 003; Quan Vuong; Oier Mees; Chelsea Finn; Sergey Levine (CoRR, 2025)

π0.5: a Vision-Language-Action Model with Open-World Generalization. - Physical Intelligence; Kevin Black; Noah Brown; James Darpinian; Karan Dhabalia; Danny Driess; Adnan Esmail; Michael Equi; Chelsea Finn; Niccolo Fusai; Manuel Y. Galliker; Dibya Ghosh; et al. (CoRR, 2025)