Sotabase

Career

· Research Intern, Google DeepMind2022–2023
· Research Intern, Meta AI2021–
· Research Assistant, Stanford AI Lab2019–2024
· Ph.D. Candidate in Computer Science, Artificial Intelligence, Stanford University2019–2024
· PhD in Computer Science, Stanford University2019–2024
· Research Assistant, Berkeley AI Research2017–2019
· Intern, Vidado (formerly Captricity)2017–
· B.S. in Electrical Engineering and Computer Science, UC Berkeley2015–2019
· Intern, Google Brain
· Research Scientist, Google DeepMind

Publications (0)

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
Robotics: Science and Systems · 2024
512
cited
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control
arXiv.org · 2018
433
cited
One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning
Robotics: Science and Systems · 2018
379
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
Gemini Robotics: Bringing AI into the Physical World
arXiv.org · 2025
222
cited
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs
International Conference on Machine Learning · 2024
185
cited
Learning Latent Representations to Influence Multi-Agent Interaction
Conference on Robot Learning · 2020
155
cited
Supervised Pretraining Can Learn In-Context Reinforcement Learning
Neural Information Processing Systems · 2023
124
cited
Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation
IEEE International Conference on Robotics and Automation · 2023
91
cited
Improvisation through Physical Understanding: Using Novel Objects as Tools with Visual Foresight
Robotics: Science and Systems · 2019
86
cited
Few-Shot Goal Inference for Visuomotor Learning and Planning
Conference on Robot Learning · 2018
72
cited
Deep Reinforcement Learning amidst Lifelong Non-Stationarity
arXiv.org · 2020
69
cited
Learning Predictive Models From Observation and Interaction
European Conference on Computer Vision · 2019
63
cited
Lifelong Robotic Reinforcement Learning by Retaining Experiences
CoLLAs · 2021
51
cited
Deep Reinforcement Learning amidst Continual Structured Non-Stationarity
International Conference on Machine Learning · 2021
40
cited
Influencing Towards Stable Multi-Agent Interactions
Conference on Robot Learning · 2021
39
cited
Efficient Data Collection for Robotic Manipulation via Compositional Generalization
Robotics: Science and Systems · 2024
36
cited
Robust Policy Learning over Multiple Uncertainty Sets
International Conference on Machine Learning · 2022
26
cited
Affordance-Guided Reinforcement Learning via Visual Prompting
IEEE/RJS International Conference on Intelligent RObots and Systems · 2024
25
cited
Bidirectional Decoding: Improving Action Chunking via Closed-Loop Resampling
arXiv.org · 2024
21
cited
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