Hello! I'm a PhD student at UC Berkeley where I'm advised by Professor Sergey Levine. I'm interested in building generally intelligent embodied agents. Previously, at Brown University, I worked with Professor Michael Littman and Professor Daniel Ritchie.
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Scaling Cross-Embodied Learning: One Policy for Manipulation, Navigation, Locomotion and Aviation
Ria Doshi*, Homer Walke*, Oier Mees, Sudeep Dasari, Sergey Levine
CoRL 2024 Oral |
website
Octo: An Open-Source Generalist Robot Policy
Dibya Ghosh*, Homer Walke*, Karl Pertsch*, Kevin Black*, Oier Mees*, Sudeep Dasari, Joey Hejna, Charles Xu,
Jianlan Luo, Tobias Kreiman, You Liang Tan, Dorsa Sadigh, Chelsea Finn, Sergey Levine
RSS 2024 |
website
BridgeData V2: A Dataset for Robot Learning at Scale
Homer Walke,
Kevin Black,
Abraham Lee,
Moo Jin Kim,
Max Du,
Chongyi Zheng,
Tony Zhao,
Philippe Hansen-Estruch,
Quan Vuong,
Andre He,
Vivek Myers,
Kuan Fang,
Chelsea Finn,
Sergey Levine
CoRL 2023 |
website
Autonomous Improvement of Instruction Following Skills via Foundation Models
Zhiyuan Zhou, Pranav Atreya, Abraham Lee, Homer Walke, Oier Mees, Sergey Levine
CoRL 2024 |
website
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
Alexander Khazatsky, Karl Pertsch, et al.
RSS 2024 |
website
Evaluating Real-World Robot Manipulation Policies in Simulation
Xuanlin Li, Kyle Hsu, Jiayuan Gu, Karl Pertsch, Oier Mees, Homer Walke, Chuyuan Fu, Ishikaa Lunawat,
Isabel Sieh, Sean Kirmani, Sergey Levine, Jiajun Wu, Chelsea Finn,
Hao Su, Quan Vuong, Ted Xiao
CoRL 2024 |
website
Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models
Kevin Black, Mitsuhiko Nakamoto, Pranav Atreya, Homer Walke, Chelsea Finn, Aviral Kumar, Sergey Levine
ICLR 2024 |
website
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Open X-Embodiment Collaboration
ICRA 2024 Best Paper |
website
Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control
Vivek Myers,
Andre He,
Kuan Fang,
Homer Walke,
Phillipe Hansen-Estruch,
Ching-An Cheng,
Mihai Jalobeanu,
Andrey Kolobov,
Anca Dragan,
Sergey Levine
CoRL 2023 |
website
Stabilizing Contrastive RL: Techniques for Offline Goal Reaching
Chongyi Zheng,
Benjamin Eysenbach,
Homer Walke, Patrick Yin,
Kuan Fang,
Ruslan Salakhutdinov,
Sergey Levine
ICLR 2024 Spotlight |
website
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 Oral |
website
Don't Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning
Homer Walke,
Jonathan Yang,
Albert Yu,
Aviral Kumar,
Jedrzej Orbik,
Avi Singh,
Sergey Levine
CoRL 2022 |
website
PLAD: Learning to Infer Shape Programs with Pseudo-Labels and Approximate Distributions
R. Kenny Jones,
Homer Walke,
Daniel Ritchie
CVPR 2022 |
website
Learning Finite Linear Temporal Logic Specifications with a Specialized Neural Operator
Homer Walke,
Daniel Ritter,
Carl Trimbach,
Michael Littman
Undergraduate Honors Thesis | thesis