Sotabase

Career

· Member of Technical Staff, Physical Intelligence2024–
· Research Scientist, Toyota Research Institute2023–2024
· Research Intern / Student Researcher, Meta2021–2022
· Research Intern / Student Researcher, Google Brain2018–2019
· PhD, Computer Science, Stanford University2018–2023
· Visiting Researcher, Stanford University2017–2017
· Machine Learning Consultant, Vizzario2017–2017
· Computer Science Teaching Assistant, Caltech2016–2017
· Representative to OpenFog Consortium, Caltech2016–2018
· Student Researcher, Caltech2016–2018
· BS, Computer Science, Caltech2014–2018

Publications (89)

On the Opportunities and Risks of Foundation Models
arXiv.org · 2021
5,795
cited
OpenVLA: An Open-Source Vision-Language-Action Model
Conference on Robot Learning · 2024
1,478
cited
π0: A Vision-Language-Action Flow Model for General Robot Control
arXiv.org · 2024
1,025
cited
R3M: A Universal Visual Representation for Robot Manipulation
Conference on Robot Learning · 2022
771
cited
π0.5: a Vision-Language-Action Model with Open-World Generalization
arXiv.org · 2025
431
cited
RoboNet: Large-Scale Multi-Robot Learning
Conference on Robot Learning · 2019
368
cited
FAST: Efficient Action Tokenization for Vision-Language-Action Models
Robotics · 2025
285
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
Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones
IEEE Robotics and Automation Letters · 2020
272
cited
Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models
International Conference on Machine Learning · 2024
251
cited
Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings
CLPsych@NAACL-HTL · 2018
215
cited
Neural Task Programming: Learning to Generalize Across Hierarchical Tasks
IEEE International Conference on Robotics and Automation · 2017
208
cited
Language-Driven Representation Learning for Robotics
Robotics: Science and Systems · 2023
192
cited
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation
Conference on Robot Learning · 2021
182
cited
Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos
Robotics: Science and Systems · 2021
173
cited
Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration
Computer Vision and Pattern Recognition · 2018
149
cited
Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation
International Conference on Learning Representations · 2019
146
cited
Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction
Computer Vision and Pattern Recognition · 2021
114
cited
Reliable Real‐Time Seismic Signal/Noise Discrimination With Machine Learning
Journal of Geophysical Research: Solid Earth · 2019
114
cited
FitVid: Overfitting in Pixel-Level Video Prediction
arXiv.org · 2021
102
cited
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