Sotabase

Career

· Intern, Physical Intelligence2025–2025
· Graduate Student Instructor, UC Berkeley2022–2022
· Research Assistant, UC Berkeley, Robotic AI and Learning Lab2021–
· PhD in Computer Science, University of California - Berkeley2021–2026
· PhD Student, University of California - Berkeley2021–
· Research Assistant, Brown University2020–2021
· Research Assistant, Brown University, Visual Computing Group2020–2021
· Research Assistant, Brown University, Robotics Group2019–2021
· Undergraduate Teaching Assistant, Brown University2018–2018
· BS in Computer Science with Honors, Brown University2017–2021
· Volunteer, Open Hand Atlanta2013–2017

Publications (22)

Octo: An Open-Source Generalist Robot Policy
Robotics: Science and Systems · 2024
926
cited
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0
IEEE International Conference on Robotics and Automation · 2023
785
cited
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
Robotics: Science and Systems · 2024
512
cited
BridgeData V2: A Dataset for Robot Learning at Scale
Conference on Robot Learning · 2023
488
cited
π0.5: a Vision-Language-Action Model with Open-World Generalization
arXiv.org · 2025
431
cited
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration
IEEE International Conference on Robotics and Automation · 2024
282
cited
Evaluating Real-World Robot Manipulation Policies in Simulation
Conference on Robot Learning · 2024
256
cited
Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models
International Conference on Learning Representations · 2023
244
cited
Scaling Cross-Embodied Learning: One Policy for Manipulation, Navigation, Locomotion and Aviation
Conference on Robot Learning · 2024
103
cited
Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better
arXiv.org · 2025
49
cited
Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control
Conference on Robot Learning · 2023
38
cited
Don't Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning
Conference on Robot Learning · 2022
37
cited
Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks
Conference on Robot Learning · 2022
32
cited
PLAD: Learning to Infer Shape Programs with Pseudo-Labels and Approximate Distributions
Computer Vision and Pattern Recognition · 2020
28
cited
Autonomous Improvement of Instruction Following Skills via Foundation Models
Conference on Robot Learning · 2024
27
cited
KALIE: Fine-Tuning Vision-Language Models for Open-World Manipulation Without Robot Data
IEEE International Conference on Robotics and Automation · 2024
12
cited
Stabilizing Contrastive RL: Techniques for Offline Goal Reaching
arXiv.org · 2023
11
cited
Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data
International Conference on Learning Representations · 2023
11
cited
Learning Finite Linear Temporal Logic Specifications with a Specialized Neural Operator
arXiv.org · 2021
8
cited
Learning to Infer Shape Programs Using Latent Execution Self Training
arXiv.org · 2020
6
cited
Sotabase
Homer Walke | Researcher Profile | Sotabase | Sotabase