Sotabase

Career

· Senior Research Scientist, Google Deepmind2025–
· Research Scientist, Physical Intelligence2025–
· PhD Student Researcher, UC Berkeley AUTOLAB2018–2022

Publications (80)

OpenVLA: An Open-Source Vision-Language-Action Model
Conference on Robot Learning · 2024
1,478
cited
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
Robotics: Science and Systems · 2024
512
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
Gemini Robotics: Bringing AI into the Physical World
arXiv.org · 2025
222
cited
Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data
IEEE International Conference on Robotics and Automation · 2020
137
cited
Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor
IEEE/RJS International Conference on Intelligent RObots and Systems · 2019
134
cited
Mechanical Search: Multi-Step Retrieval of a Target Object Occluded by Clutter
IEEE International Conference on Robotics and Automation · 2019
119
cited
Reliable Real‐Time Seismic Signal/Noise Discrimination With Machine Learning
Journal of Geophysical Research: Solid Earth · 2019
114
cited
VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation
Robotics: Science and Systems · 2020
106
cited
Safety Augmented Value Estimation From Demonstrations (SAVED): Safe Deep Model-Based RL for Sparse Cost Robotic Tasks
IEEE Robotics and Automation Letters · 2019
104
cited
ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning
Conference on Robot Learning · 2021
101
cited
Learning Dense Visual Correspondences in Simulation to Smooth and Fold Real Fabrics
IEEE International Conference on Robotics and Automation · 2020
83
cited
A microscale optical implant for continuous in vivo monitoring of intraocular pressure
Microsystems & Nanoengineering · 2017
70
cited
LazyDAgger: Reducing Context Switching in Interactive Imitation Learning
2021 IEEE 17th International Conference on Automation Science and Engineering (CASE) · 2021
61
cited
Untangling Dense Knots by Learning Task-Relevant Keypoints
Conference on Robot Learning · 2020
58
cited
VisuoSpatial Foresight for physical sequential fabric manipulation
Autonomous Robots · 2021
43
cited
Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies
Robotics: Science and Systems · 2021
31
cited
Deep Imitation Learning of Sequential Fabric Smoothing Policies
arXiv.org · 2019
30
cited
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Ashwin Balakrishna | Researcher Profile | Sotabase | Sotabase