Learning to Infer Shape Programs Using Latent Execution Self Training. - Homer Walke; R. Kenny Jones; Daniel Ritchie (CoRR, 2020)

Learning Finite Linear Temporal Logic Specifications with a Specialized Neural Operator. - Homer Walke; Daniel Ritter 005; Carl Trimbach; Michael Littman 002 (CoRR, 2021)

Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks. - Kuan Fang; Patrick Yin; Ashvin Nair; Homer Walke; Gengchen Yan; Sergey Levine (CoRL, 2022)

Don't Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning. - Homer Walke; Jonathan Yang; Albert Yu 002; Aviral Kumar; Jedrzej Orbik; Avi Singh; Sergey Levine (CoRL, 2022)

PLAD: Learning to Infer Shape Programs with Pseudo-Labels and Approximate Distributions. - R. Kenny Jones; Homer Walke; Daniel Ritchie (CVPR, 2022)

Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control. - Vivek Myers; Andre Wang He; Kuan Fang; Homer Rich Walke; Philippe Hansen-Estruch; Ching-An Cheng; Mihai Jalobeanu; Andrey Kolobov; Anca D. Dragan; Sergey Levine (CoRL, 2023)

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)

Stabilizing Contrastive RL: Techniques for Offline Goal Reaching. - Chongyi Zheng; Benjamin Eysenbach; Homer Walke; Patrick Yin; Kuan Fang; Ruslan Salakhutdinov; Sergey Levine (CoRR, 2023)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models. - Open X.-Embodiment Collaboration; Abhishek Padalkar; Acorn Pooley; Ajinkya Jain; Alex Bewley; Alexander Herzog; Alex Irpan; Alexander Khazatsky; Anant Raj; Anikait Singh; Anthony Brohan; Antonin Raffin; et al. (CoRR, 2023)

Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models. - Kevin Black; Mitsuhiko Nakamoto; Pranav Atreya; Homer Walke; Chelsea Finn; Aviral Kumar; Sergey Levine (CoRR, 2023)

Scaling Cross-Embodied Learning: One Policy for Manipulation, Navigation, Locomotion and Aviation. - Ria Doshi; Homer Rich Walke; Oier Mees; Sudeep Dasari; Sergey Levine (CoRL, 2024)

Evaluating Real-World Robot Manipulation Policies in Simulation. - Xuanlin Li; Kyle Hsu; Jiayuan Gu; Oier Mees; Karl Pertsch; Homer Rich Walke; Chuyuan Fu; Ishikaa Lunawat; Isabel Sieh; Sean Kirmani; Sergey Levine; Jiajun Wu 001; et al. (CoRL, 2024)

Autonomous Improvement of Instruction Following Skills via Foundation Models. - Zhiyuan Zhou; Pranav Atreya; Abraham Lee; Homer Rich Walke; Oier Mees; Sergey Levine (CoRL, 2024)

Zero-Shot Robotic Manipulation with Pre-Trained Image-Editing Diffusion Models. - Kevin Black; Mitsuhiko Nakamoto; Pranav Atreya; Homer Rich Walke; Chelsea Finn; Aviral Kumar; Sergey Levine (ICLR, 2024)

Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data. - Chongyi Zheng; Benjamin Eysenbach; Homer Rich Walke; Patrick Yin; Kuan Fang; Ruslan Salakhutdinov; Sergey Levine (ICLR, 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)

Octo: An Open-Source Generalist Robot Policy. - Dibya Ghosh; Homer Rich Walke; Karl Pertsch; Kevin Black; Oier Mees; Sudeep Dasari; Joey Hejna; Tobias Kreiman; Charles Xu 003; Jianlan Luo; You Liang Tan; Lawrence Yunliang Chen; 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. (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)

Octo: An Open-Source Generalist Robot Policy. - Octo Model Team; Dibya Ghosh; Homer Walke; Karl Pertsch; Kevin Black; Oier Mees; Sudeep Dasari; Joey Hejna; Tobias Kreiman; Charles Xu 003; Jianlan Luo; You Liang Tan; et al. (CoRR, 2024)

KALIE: Fine-Tuning Vision-Language Models for Open-World Manipulation without Robot Data. - Grace Tang; Swetha Rajkumar; Yifei Zhou; Homer Rich Walke; Sergey Levine; Kuan Fang (CoRR, 2024)

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)

Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better. - Danny Driess; Jost Tobias Springenberg; Brian Ichter; Lili Yu; Adrian Li-Bell; Karl Pertsch; Allen Z. Ren; Homer Walke; Quan Vuong; Lucy Xiaoyang Shi; Sergey Levine (CoRR, 2025)